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Face Technology Repository(Updating)
🔥🔥🔥Website: https://becauseofAI.github.io/HelloFace 👍👍👍
- Recent Update
- Face Benchmark and Dataset
- Face Recognition
- Face Detection
- Face Landmark
- Face Clustering
- Face Expression
- Face Action
- Face 3D
- Face GAN
- Face Deblurring
- Face Super-Resolution
- Face Manipulation
- Face Anti-Spoofing
- Face Adversarial Attack
- Face Cross-Modal
- Face Capture
- Face Lib and Tool
ICIP2020
- 3D SPARSE DEFORMATION SIGNATURE FOR DYNAMIC FACE RECOGNITION
- A Stacking Ensemble for Anomaly Based Client-Specific Face Spoofing Detection
- ADAPTIVE AGGREGATED TRACKLET LINKING FOR MULTI-FACE TRACKING
- ATTENTION SELECTIVE NETWORK FOR FACE SYNTHESIS AND POSE-INVARIANT FACE RECOGNITION
- EDGE-GAN: EDGE CONDITIONED MULTI-VIEW FACE IMAGE GENERATION
- EXTRACTING DEEP LOCAL FEATURES TO DETECT MANIPULATED IMAGES OF HUMAN FACES
- FACE AUTHENTICATION FROM GRAYSCALE CODED LIGHT FIELD
- FACE RECOGNITION UNDER LOW ILLUMINATION VIA DEEP FEATURE RECONSTRUCTION NETWORK
- IMPROVING DETECTION AND RECOGNITION OF DEGRADED FACES BY DISCRIMINATIVE FEATURE RESTORATION USING GAN
- QAMFACE: QUADRATIC ADDITIVE ANGULAR MARGIN LOSS FOR FACE RECOGNITION
- REALISTIC TALKING FACE SYNTHESIS WITH GEOMETRY-AWARE FEATURE TRANSFORMATION
- TRIPLET DISTILLATION FOR DEEP FACE RECOGNITION
ECCV2020
- “Look Ma, no landmarks!” – Unsupervised, Model-based Dense Face Alignment
- Hierarchical Face Aging through Disentangled Latent Characteristics
- Semi-Siamese Training for Shallow Face Learning
- Face Super-Resolution Guided by 3D Facial Priors
- Personalized Face Modeling for Improved Face Reconstruction and Motion Retargeting
- ProgressFace: Scale-Aware Progressive Learning for Face Detection
- Face Anti-Spoofing with Human Material Perception
- Beyond 3DMM Space: Towards Fine-grained 3D Face Reconstruction
- Blind Face Restoration via Deep Multi-scale Component Dictionaries
- Inequality-Constrained and Robust 3D Face Model Fitting
- BroadFace: Looking at Tens of Thousands of People at Once for Face Recognition
- Explainable Face Recognition
- CONFIG: Controllable Neural Face Image Generation
- Sub-center ArcFace: Boosting Face Recognition by Large-scale Noisy Web Faces
- CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations
- Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues
- Edge-aware Graph Representation Learning and Reasoning for Face Parsing
- Learning Flow-based Feature Warping for Face Frontalization with Illumination Inconsistent Supervision
- CAFE-GAN: Arbitrary Face Attribute Editing with Complementary Attention Feature
- Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency
- Generate to Adapt: Resolution Adaption Network for Surveillance Face Recognition
- Caption-Supervised Face Recognition: Training a State-of-the-Art Face Model without Manual Annotation
- Design and Interpretation of Universal Adversarial Patches in Face Detection
- JNR: Joint-based Neural Rig Representation for Compact 3D Face Modeling
- On Disentangling Spoof Trace for Generic Face Anti-Spoofing
- Towards causal benchmarking of bias in face analysis algorithms
- Towards Fast, Accurate and Stable 3D Dense Face Alignment
- Face Anti-Spoofing via Disentangled Representation Learning
- Learning to Predict Salient Faces: A Novel Visual-Audio Saliency Model
- MEAD: A Large-scale Audio-visual Dataset for Emotional Talking-face Generation
- Margin-Mix: Semi–Supervised Learning for Face Expression Recognition
- Password-conditioned Anonymization and Deanonymization with Face Identity Transformers
- Improving Face Recognition by Clustering Unlabeled Faces in the Wild
- Exclusivity-Consistency Regularized Knowledge Distillation for Face Recognition
- BioMetricNet: deep unconstrained face verification through learning of metrics regularized onto Gaussian distributions
- Eyeglasses 3D shape reconstruction from a single face image
- Deep Cross-species Feature Learning for Animal Face Recognition via Residual Interspecies Equivariant Network
- High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images
- ByeGlassesGAN: Identity Preserving Eyeglasses Removal for Face Images
- Jointly De-biasing Face Recognition and Demographic Attribute Estimation
- Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks
- Improving Face Recognition from Hard Samples via Distribution Distillation Loss
- Manifold Projection for Adversarial Defense on Face Recognition
SIGGRAPH2020
- A System for Efficient 3D Printed Stop-Motion Face Animation
- Accurate Face Rig Approximation With Deep Differential Subspace Reconstruction
- DeepFaceDrawing: Deep Generation of Face Images from Sketches
- The Eyes Have It: An Integrated Eye and Face Model for Photorealistic Facial Animation
IJCAI2020
- Biased Feature Learning for Occlusion Invariant Face Recognition
- Reference Guided Face Component Editing
- Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence Learning
- FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces
CVPR2020
- Cross-Modal Deep Face Normals With Deactivable Skip Connections
- One-Shot Domain Adaptation for Face Generation
- Towards Learning Structure via Consensus for Face Segmentation and Parsing
- BFBox: Searching Face-Appropriate Backbone and Feature Pyramid Network for Face Detector
- Domain Balancing: Face Recognition on Long-Tailed Domains
- FReeNet: Multi-Identity Face Reenactment
- Learning Identity-Invariant Motion Representations for Cross-ID Face Reenactment
- Global-Local GCN: Large-Scale Label Noise Cleansing for Face Recognition
- 3FabRec: Fast Few-Shot Face Alignment by Reconstruction
- Global Texture Enhancement for Fake Face Detection in the Wild
- CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition
- On the Detection of Digital Face Manipulation
- Deep Spatial Gradient and Temporal Depth Learning for Face Anti-Spoofing
- ReDA:Reinforced Differentiable Attribute for 3D Face Reconstruction
- Cross-Domain Face Presentation Attack Detection via Multi-Domain Disentangled Representation Learning
- FaceScape: A Large-Scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction
- Interpreting the Latent Space of GANs for Semantic Face Editing
- Rotate-and-Render: Unsupervised Photorealistic Face Rotation From Single-View Images
- Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning
- Density-Aware Feature Embedding for Face Clustering
- Learning to Have an Ear for Face Super-Resolution
- Learning Formation of Physically-Based Face Attributes
- LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood
- Learning Meta Face Recognition in Unseen Domains
- Cross-Spectral Face Hallucination via Disentangling Independent Factors
- Deep Face Super-Resolution With Iterative Collaboration Between Attentive Recovery and Landmark Estimation
- Data Uncertainty Learning in Face Recognition
- Face X-Ray for More General Face Forgery Detection
- Vec2Face: Unveil Human Faces From Their Blackbox Features in Face Recognition
- FM2u-Net: Face Morphological Multi-Branch Network for Makeup-Invariant Face Verification
- Uncertainty-Aware Mesh Decoder for High Fidelity 3D Face Reconstruction
- Enhanced Blind Face Restoration With Multi-Exemplar Images and Adaptive Spatial Feature Fusion
- SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness
- Towards High-Fidelity 3D Face Reconstruction From In-the-Wild Images Using Graph Convolutional Networks
- RDCFace: Radial Distortion Correction for Face Recognition
- Searching Central Difference Convolutional Networks for Face Anti-Spoofing
- RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild
- Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement Learning
- DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection
- GroupFace: Learning Latent Groups and Constructing Group-Based Representations for Face Recognition
- A Morphable Face Albedo Model
- Learning Oracle Attention for High-Fidelity Face Completion
- Learning Physics-Guided Face Relighting Under Directional Light
- Towards Universal Representation Learning for Deep Face Recognition
- Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition
- HAMBox: Delving Into Mining High-Quality Anchors on Face Detection
- Hierarchical Pyramid Diverse Attention Networks for Face Recognition
- Dynamic Face Video Segmentation via Reinforcement Learning
- Copy and Paste GAN: Face Hallucination From Shaded Thumbnails
- Single-Side Domain Generalization for Face Anti-Spoofing
AAAI2020
- Fast and Robust Face-to-Parameter Translation for Game Character Auto-Creation
- Mis-classified Vector Guided Softmax Loss for Face Recognition
- Learning Meta Model for Zero- and Few-shot Face Anti-spoofing
- Learning to Deblur Face Images via Sketch Synthesis
- FAN-Face: a simple orthogonal improvement to deep face recognition
- KPNet: Towards Minimal Face Detector
- Towards Omni-Supervised Face Alignment for Large Scale Unlabeled Videos
- Regularized Fine-grained Meta Face Anti-spoofing
- GDFace: Gated Deformation for Multi-view Face Image Synthesis
- Realistic Face Reenactment via Self-Supervised Disentangling of Identity and Pose
- MarioNETte: Few-shot Face Reenactment Preserving Identity of Unseen Targets
- A New Dataset and Boundary-Attention Semantic Segmentation for Face Parsing
- Video Face Super-Resolution with Motion-Adaptive Feedback Cell
- Facial Attribute Capsules for Noise Face Super Resolution
- Joint Super-Resolution and Alignment of Tiny Faces
-
UGG: Uncertainty Modeling of Contextual-Connections Between Tracklets for Unconstrained Video-Based Face Recognition
-
PDSN: Occlusion Robust Face Recognition Based on Mask Learning With Pairwise Differential Siamese Network
-
Attentional Feature-Pair Relation Networks for Accurate Face Recognition
-
PFE: Probabilistic Face Embeddings
-
Towards Interpretable Face Recognition
-
Co-Mining: Deep Face Recognition With Noisy Labels
-
Fair Loss: Margin-Aware Reinforcement Learning for Deep Face Recognition
-
Discriminatively Learned Convex Models for Set Based Face Recognition
-
DVG: Dual Variational Generation for Low Shot Heterogeneous Face Recognition
-
CDP: Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition
-
BCL: Video Face Clustering With Unknown Number of Clusters
-
DeCaFA: Deep Convolutional Cascade for Face Alignment in the Wild
-
AWing: Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression
-
KDN: Face Alignment With Kernel Density Deep Neural Network
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DF2Net: A Dense-Fine-Finer Network for Detailed 3D Face Reconstruction
-
Face Video Deblurring Using 3D Facial Priors
-
Semi-Supervised Monocular 3D Face Reconstruction With End-to-End Shape-Preserved Domain Transfer
-
3DFC: 3D Face Modeling From Diverse Raw Scan Data
-
Live Face De-Identification in Video
-
Face-to-Parameter Translation for Game Character Auto-Creation
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SC-FEGAN: Face Editing Generative Adversarial Network With User's Sketch and Color
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FSGAN: Subject Agnostic Face Swapping and Reenactment
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Make a Face: Towards Arbitrary High Fidelity Face Manipulation
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Face De-Occlusion Using 3D Morphable Model and Generative Adversarial Network
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FRV: Face Reconstruction from Voice using Generative Adversarial Networks
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From Inference to Generation: End-to-end Fully Self-supervised Generation of Human Face from Speech
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PFSR: Progressive Face Super-Resolution via Attention to Facial Landmark
-
Deep face recognition using imperfect facial data
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Unequal-Training for Deep Face Recognition With Long-Tailed Noisy Data
-
RegularFace: Deep Face Recognition via Exclusive Regularization
-
UniformFace: Learning Deep Equidistributed Representation for Face Recognition
-
P2SGrad: Refined Gradients for Optimizing Deep Face Models
-
AdaptiveFace: Adaptive Margin and Sampling for Face Recognition
-
AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations
-
Low-Rank Laplacian-Uniform Mixed Model for Robust Face Recognition
-
NoiseFace: Noise-Tolerant Paradigm for Training Face Recognition CNNs
-
Feature Transfer Learning for Face Recognition With Under-Represented Data
-
Led3D: A Lightweight and Efficient Deep Approach to Recognizing Low-Quality 3D Faces
-
R3 Adversarial Network for Cross Model Face Recognition
-
RetinaFace: Single-stage Dense Face Localisation in the Wild
-
Group Sampling for Scale Invariant Face Detection
-
FA-RPN: Floating Region Proposals for Face Detection
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Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection
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Robust Facial Landmark Detection via Occlusion-Adaptive Deep Networks
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LTC: Learning to Cluster Faces on an Affinity Graph
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FECNet: A Compact Embedding for Facial Expression Similarity
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LBVCNN: Local Binary Volume Convolutional Neural Network for Facial Expression Recognition from Image Sequences
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Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation
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Local Relationship Learning With Person-Specific Shape Regularization for Facial Action Unit Detection
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TCAE: Self-Supervised Representation Learning From Videos for Facial Action Unit Detection
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JAANet: Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment
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2DASL: Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning
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MVF-Net: Multi-View 3D Face Morphable Model Regression
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Dense 3D Face Decoding Over 2500FPS: Joint Texture & Shape Convolutional Mesh Decoders
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Towards High-Fidelity Nonlinear 3D Face Morphable Model
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Combining 3D Morphable Models: A Large Scale Face-And-Head Model
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Disentangled Representation Learning for 3D Face Shap
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Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking
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MMFace: A Multi-Metric Regression Network for Unconstrained Face Reconstruction
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Learning to Regress 3D Face Shape and Expression From an Image Without 3D Supervision
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Boosting Local Shape Matching for Dense 3D Face Correspondence
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FML: Face Model Learning From Videos
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2DASL: Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning
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ATVGnet: Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss
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Speech2Face: Learning the Face Behind a Voice
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Unsupervised Face Normalization With Extreme Pose and Expression in the Wild
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GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction
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BeautyGAN: Instance-level Facial Makeup Transfer with Deep Generative Adversarial Network
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FUNIT: Few-Shot Unsupervised Image-to-Image Translation
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Automatic Face Aging in Videos via Deep Reinforcement Learning
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Attribute-Aware Face Aging With Wavelet-Based Generative Adversarial Networks
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SAGAN:Generative Adversarial Network with Spatial Attention for Face Attribute Editing
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APDrawingGAN: Generating Artistic Portrait Drawings From Face Photos With Hierarchical GANs
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StyleGAN: A Style-Based Generator Architecture for Generative Adversarial Networks
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3D Guided Fine-Grained Face Manipulation
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SemanticComponent: Semantic Component Decomposition for Face Attribute Manipulation
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Dataset and Benchmark: A Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing
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Deep Tree Learning for Zero-Shot Face Anti-Spoofing
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Decorrelated Adversarial Learning for Age-Invariant Face Recognition
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Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection
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Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition
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Speech2Face: Learning the Face Behind a Voice
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JFDFMR: Joint Face Detection and Facial Motion Retargeting for Multiple Faces
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ATVGnet: Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss
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High-Quality Face Capture Using Anatomical Muscles
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Monocular Total Capture: Posing Face, Body, and Hands in the Wild
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Expressive Body Capture: 3D Hands, Face, and Body From a Single Image
- ISRN: Improved Selective Refinement Network for Face Detection
- DSFD: Dual Shot Face Detector
- PyramidBox++: High Performance Detector for Finding Tiny Face
- VIM-FD: Robust and High Performance Face Detector
- SHF: Robust Face Detection via Learning Small Faces on Hard Images
- SRN: Selective Refinement Network for High Performance Face Detection
- SFDet: Single-Shot Scale-Aware Network for Real-Time Face Detection
- JFDFMR: Joint Face Detection and Facial Motion Retargeting for Multiple Faces
- PFLD: A Practical Facial Landmark Detector
- LinkageFace: Linkage Based Face Clustering via Graph Convolution Network
- MLT: Face Recognition: A Novel Multi-Level Taxonomy based Survey
- GhostVLAD: GhostVLAD for set-based face recognition
- DocFace+: ID Document to Selfie Matching
- DiF: Diversity in Faces
- 2018Survey: Face Recognition: From Traditional to Deep Learning Methods
- 2018Survey: Deep Facial Expression Recognition: A Survey
- 2018Survey: Deep Face Recognition: A Survey
- SphereFace+(MHE): Learning towards Minimum Hyperspherical Energy
- HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition
- FRVT: Face Recognition Vendor Test
- GANimation: Anatomically-aware Facial Animation from a Single Image
- StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
- Faceswap: A tool that utilizes deep learning to recognize and swap faces in pictures and videos
- HF-PIM: Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization
- PRNet: Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network
- LAB: Look at Boundary: A Boundary-Aware Face Alignment Algorithm
- Super-FAN: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs
- Face-Alignment: How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)
- Face3D: Python tools for processing 3D face
- IMDb-Face: The Devil of Face Recognition is in the Noise
- AAM-Softmax(CCL): Face Recognition via Centralized Coordinate Learning
- AM-Softmax: Additive Margin Softmax for Face Verification
- FeatureIncay: Feature Incay for Representation Regularization
- NormFace: L2 hypersphere embedding for face Verification
- CocoLoss: Rethinking Feature Discrimination and Polymerization for Large-scale Recognition
- L-Softmax: Large-Margin Softmax Loss for Convolutional Neural Networks
- MobileFace: A face recognition solution on mobile device
- Trillion Pairs: Challenge 3: Face Feature Test/Trillion Pairs
- MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices
- PyramidBox: A Context-assisted Single Shot Face Detector
- PCN: Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks
- S³FD: Single Shot Scale-invariant Face Detector
- SSH: Single Stage Headless Face Detector
- NPD: A Fast and Accurate Unconstrained Face Detector
- PICO: Object Detection with Pixel Intensity Comparisons Organized in Decision Trees
- libfacedetection: A fast binary library for face detection and face landmark detection in images.
- SeetaFaceEngine: SeetaFace Detection, SeetaFace Alignment and SeetaFace Identification.
- FaceID: An implementation of iPhone X's FaceID using face embeddings and siamese networks on RGBD images.
- InsightFace(ArcFace): 2D and 3D Face Analysis Project
- CosFace: Large Margin Cosine Loss for Deep Face Recognition
- DiF: Diversity in Faces [project] [blog]
- FRVT: Face Recognition Vendor Test [project] [leaderboard]
- IMDb-Face: The Devil of Face Recognition is in the Noise(59k people in 1.7M images) [paper] [dataset]
- Trillion Pairs: Challenge 3: Face Feature Test/Trillion Pairs(MS-Celeb-1M-v1c with 86,876 ids/3,923,399 aligned images + Asian-Celeb 93,979 ids/2,830,146 aligned images) [benckmark] [dataset] [result]
- MF2: Level Playing Field for Million Scale Face Recognition(672K people in 4.7M images) [paper] [dataset] [result] [benckmark]
- MegaFace: The MegaFace Benchmark: 1 Million Faces for Recognition at Scale(690k people in 1M images) [paper] [dataset] [result] [benckmark]
- UMDFaces: An Annotated Face Dataset for Training Deep Networks(8k people in 367k images with pose, 21 key-points and gender) [paper] [dataset]
- MS-Celeb-1M: A Dataset and Benchmark for Large Scale Face Recognition(100K people in 10M images) [paper] [dataset] [result] [benchmark] [project]
- VGGFace2: A dataset for recognising faces across pose and age(9k people in 3.3M images) [paper] [dataset]
- VGGFace: Deep Face Recognition(2.6k people in 2.6M images) [paper] [dataset]
- CASIA-WebFace: Learning Face Representation from Scratch(10k people in 500k images) [paper] [dataset]
- LFW: Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments(5.7k people in 13k images) [report] [dataset] [result] [benchmark]
- WiderFace: WIDER FACE: A Face Detection Benchmark(400k people in 32k images with a high degree of variability in scale, pose and occlusion) [paper] [dataset] [result] [benchmark]
- FDDB: A Benchmark for Face Detection in Unconstrained Settings(5k faces in 2.8k images) [report] [dataset] [result] [benchmark]
- LS3D-W: A large-scale 3D face alignment dataset constructed by annotating the images from AFLW, 300VW, 300W and FDDB in a consistent manner with 68 points using the automatic method [paper] [dataset]
- AFLW: Annotated Facial Landmarks in the Wild: A Large-scale, Real-world Database for Facial Landmark Localization(25k faces with 21 landmarks) [paper] [benchmark]
- CelebA: Deep Learning Face Attributes in the Wild(10k people in 202k images with 5 landmarks and 40 binary attributes per image) [paper] [dataset]
- Live Face De-Identification in Video [paper]
- UGG: Uncertainty Modeling of Contextual-Connections Between Tracklets for Unconstrained Video-Based Face Recognition [paper]
- PDSN: Occlusion Robust Face Recognition Based on Mask Learning With Pairwise Differential Siamese Network [paper] [code]
- Attentional Feature-Pair Relation Networks for Accurate Face Recognition [paper]
- Probabilistic Face Embeddings [paper] [code]
- Towards Interpretable Face Recognition [paper] [code] [project]
- Co-Mining: Deep Face Recognition With Noisy Labels [paper]
- Fair Loss: Margin-Aware Reinforcement Learning for Deep Face Recognition [paper]
- Discriminatively Learned Convex Models for Set Based Face Recognition [paper]
- DVG: Dual Variational Generation for Low Shot Heterogeneous Face Recognition [paper] [code]
- Deep face recognition using imperfect facial data [paper]
- Unequal-Training for Deep Face Recognition With Long-Tailed Noisy Data [paper] [code]
- RegularFace: Deep Face Recognition via Exclusive Regularization [paper]
- UniformFace: Learning Deep Equidistributed Representation for Face Recognition [paper]
- P2SGrad: Refined Gradients for Optimizing Deep Face Models [paper]
- AdaptiveFace: Adaptive Margin and Sampling for Face Recognition [paper]
- AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations [paper] [code1] [code2]
- Low-Rank Laplacian-Uniform Mixed Model for Robust Face Recognition [paper]
- NoiseFace: Noise-Tolerant Paradigm for Training Face Recognition CNNs [paper] [code]
- Feature Transfer Learning for Face Recognition With Under-Represented Data [paper]
- Led3D: A Lightweight and Efficient Deep Approach to Recognizing Low-Quality 3D Faces [paper] [code] [dataset]
- R3 Adversarial Network for Cross Model Face Recognition [paper]
- MLT: Face Recognition: A Novel Multi-Level Taxonomy based Survey [paper]
- CDP: Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition [paper] [code] [project]
- GhostVLAD: GhostVLAD for set-based face recognition [paper]
- DocFace+: ID Document to Selfie Matching [paper] [code]
- 2018Survey: Face Recognition: From Traditional to Deep Learning Methods [paper]
- 2018Survey: Deep Facial Expression Recognition: A Survey [paper]
- 2018Survey: Deep Face Recognition: A Survey [paper]
- SphereFace+(MHE): Learning towards Minimum Hyperspherical Energy [paper] [code]
- MobileFace: A face recognition solution on mobile device [code]
- MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices [paper] [code1] [code2] [code3] [code4]
- FaceID: An implementation of iPhone X's FaceID using face embeddings and siamese networks on RGBD images. [code] [blog]
- InsightFace(ArcFace): 2D and 3D Face Analysis Project [paper] [code1]
[code2]
- AAM-Softmax(CCL): Face Recognition via Centralized Coordinate Learning [paper]
- AM-Softmax: Additive Margin Softmax for Face Verification [paper] [code1] [code2]
- CosFace: Large Margin Cosine Loss for Deep Face Recognition [paper] [code1] [code2]
- FeatureIncay: Feature Incay for Representation Regularization [paper]
- CocoLoss: Rethinking Feature Discrimination and Polymerization for Large-scale Recognition [paper] [code]
- NormFace: L2 hypersphere embedding for face Verification [paper] [code]
- SphereFace(A-Softmax): Deep Hypersphere Embedding for Face Recognition [paper] [code]
- L-Softmax: Large-Margin Softmax Loss for Convolutional Neural Networks [paper] [code1] [code2] [code3] [code4] [code5] [code6] [code7]
- CenterLoss: A Discriminative Feature Learning Approach for Deep Face Recognition [paper] [code1] [code2] [code3] [code4]
- OpenFace: A general-purpose face recognition library with mobile applications [report] [project] [code1] [code2]
- FaceNet: A Unified Embedding for Face Recognition and Clustering [paper] [code]
- DeepID3: DeepID3: Face Recognition with Very Deep Neural Networks [paper]
- DeepID2+: Deeply learned face representations are sparse, selective, and robust [paper]
- DeepID2: Deep Learning Face Representation by Joint Identification-Verification [paper]
- DeepID: Deep Learning Face Representation from Predicting 10,000 Classes [paper]
- DeepFace: Closing the gap to human-level performance in face verification [paper]
- LBP+Joint Bayes: Bayesian Face Revisited: A Joint Formulation [paper] [code1] [code2] [code3]
- LBPFace: Face recognition with local binary patterns [paper] [code]
- FisherFace(LDA): Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection [paper] [code]
- EigenFace(PCA): Face recognition using eigenfaces [paper] [code]
- RetinaFace: Single-stage Dense Face Localisation in the Wild [paper] [code]
- Group Sampling for Scale Invariant Face Detection [paper]
- FA-RPN: Floating Region Proposals for Face Detection [paper]
- SFA: Small Faces Attention Face Detector [paper] [code]
- ISRN: Improved Selective Refinement Network for Face Detection [paper]
- DSFD: Dual Shot Face Detector [paper] [code]
- PyramidBox++: High Performance Detector for Finding Tiny Face [paper]
- VIM-FD: Robust and High Performance Face Detector [paper]
- SHF: Robust Face Detection via Learning Small Faces on Hard Images [paper] [code]
- SRN: Selective Refinement Network for High Performance Face Detection [paper]
- SFDet: Single-Shot Scale-Aware Network for Real-Time Face Detection [paper]
- HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition [paper] [code]
- PyramidBox: A Context-assisted Single Shot Face Detector [paper] [code]
- PCN: Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks [paper] [code]
- S³FD: Single Shot Scale-invariant Face Detector [paper] [code]
- SSH: Single Stage Headless Face Detector [paper] [code]
- FaceBoxes: A CPU Real-time Face Detector with High Accuracy [paper][code1] [code2]
- TinyFace: Finding Tiny Faces [paper] [project] [code1] [code2] [code3]
- MTCNN: Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks [paper] [project] [code1] [code2] [code3] [code4] [code5] [code6] [code7]
- NPD: A Fast and Accurate Unconstrained Face Detector [paper] [code] [project]
- PICO: Object Detection with Pixel Intensity Comparisons Organized in Decision Trees [paper] [code]
- libfacedetection: A fast binary library for face detection and face landmark detection in images. [code]
- SeetaFaceEngine: SeetaFace Detection, SeetaFace Alignment and SeetaFace Identification [code]
- DeCaFA: Deep Convolutional Cascade for Face Alignment in the Wild [paper]
- AWing: Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression [paper] [code]
- KDN: Face Alignment With Kernel Density Deep Neural Network [paper]
- Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection [paper]
- Robust Facial Landmark Detection via Occlusion-Adaptive Deep Networks [paper]
- PFLD: A Practical Facial Landmark Detector [paper] [project] [code]
- PRNet: Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network [paper] [code]
- LAB: Look at Boundary: A Boundary-Aware Face Alignment Algorithm [paper] [project] [code]
- Face-Alignment: How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks) [paper] [project] [code1] [code2]
- ERT: One Millisecond Face Alignment with an Ensemble of Regression Trees [paper] [code]
- BCL: Video Face Clustering With Unknown Number of Clusters [paper] [code]
- LinkageFace: Linkage Based Face Clustering via Graph Convolution Network [paper]
- LTC: Learning to Cluster Faces on an Affinity Graph [paper] [code]
- FECNet: A Compact Embedding for Facial Expression Similarity [paper] [code]
- LBVCNN: Local Binary Volume Convolutional Neural Network for Facial Expression Recognition from Image Sequences [paper]
- Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation [paper]
- Local Relationship Learning With Person-Specific Shape Regularization for Facial Action Unit Detection [paper]
- TCAE: Self-Supervised Representation Learning From Videos for Facial Action Unit Detection [paper] [code]
- JAANet: Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment [paper] [code]
- DF2Net: A Dense-Fine-Finer Network for Detailed 3D Face Reconstruction [paper] [code]
- Semi-Supervised Monocular 3D Face Reconstruction With End-to-End Shape-Preserved Domain Transfer [paper]
- 3DFC: 3D Face Modeling From Diverse Raw Scan Data [paper] [code]
- 2DASL: Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning [paper] [code]
- MVF-Net: Multi-View 3D Face Morphable Model Regression [paper] [code]
- Dense 3D Face Decoding Over 2500FPS: Joint Texture & Shape Convolutional Mesh Decoders [paper]
- Towards High-Fidelity Nonlinear 3D Face Morphable Model [paper] [project]
- Combining 3D Morphable Models: A Large Scale Face-And-Head Model [paper]
- Disentangled Representation Learning for 3D Face Shape [paper] [code]
- Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking [paper]
- MMFace: A Multi-Metric Regression Network for Unconstrained Face Reconstruction [paper]
- RingNet: Learning to Regress 3D Face Shape and Expression From an Image Without 3D Supervision [paper] [code] [project]
- Boosting Local Shape Matching for Dense 3D Face Correspondence [paper]
- FML: Face Model Learning From Videos [paper]
- Face-to-Parameter Translation for Game Character Auto-Creation [paper]
- Automatic Face Aging in Videos via Deep Reinforcement Learning [paper] [blog]
- Attribute-Aware Face Aging With Wavelet-Based Generative Adversarial Networks [paper]
- SAGAN:Generative Adversarial Network with Spatial Attention for Face Attribute Editing [paper] [code]
- APDrawingGAN: Generating Artistic Portrait Drawings From Face Photos With Hierarchical GANs [paper] [code]
- StyleGAN: A Style-Based Generator Architecture for Generative Adversarial Networks [paper] [code] [dataset]
- BeautyGAN: Instance-level Facial Makeup Transfer with Deep Generative Adversarial Network [paper] [code] [project] [poster]
- FSGAN: Subject Agnostic Face Swapping and Reenactment [paper] [code] [project]
- Faceswap: A tool that utilizes deep learning to recognize and swap faces in pictures and videos [code1] [code2]
- FUNIT: Few-Shot Unsupervised Image-to-Image Translation [paper] [code] [project]
- Unsupervised Face Normalization With Extreme Pose and Expression in the Wild [paper] [code]
- GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction [paper] [project]
- HF-PIM: Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization [paper]
- Super-FAN: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs [paper]
- GANimation: Anatomically-aware Facial Animation from a Single Image [paper] [project] [code]
- StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation [paper] [code]
- PGAN: Progressive Growing of GANs for Improved Quality, Stability, and Variation [paper] [code1] [code2]
- Make a Face: Towards Arbitrary High Fidelity Face Manipulation [paper]
- 3D Guided Fine-Grained Face Manipulation [paper]
- SemanticComponent: Semantic Component Decomposition for Face Attribute Manipulation [paper] [code] [demo]
- Dataset and Benchmark: A Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing [paper] [poster] [dataset]
- Deep Tree Learning for Zero-Shot Face Anti-Spoofing [paper]
- Decorrelated Adversarial Learning for Age-Invariant Face Recognition [paper]
- Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection [paper]
- Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition [paper]
- From Inference to Generation: End-to-end Fully Self-supervised Generation of Human Face from Speech [paper]
- FRV: Face Reconstruction from Voice using Generative Adversarial Networks [paper] [code] [poster]
- Speech2Face: Learning the Face Behind a Voice [paper] [project]
- JFDFMR: Joint Face Detection and Facial Motion Retargeting for Multiple Faces [paper]
- ATVGnet: Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss [paper] [code]