Skip to content

chenweikai/Body_Reconstruction_References

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

11 Commits
 
 

Repository files navigation

Human Body Reconstruction

There are tremendous amount of papers on human body digitization in recent years. Below shows my collection of papers organized in a reverse-chronological order.

Multi-view Reconstruction

1. Deep Learning

[ECCV18] Deep Volumetric Video From Very Sparse Multi-View Performance Capture [pdf]

[ECCV18] Bodynet: Volumetric inference of 3d human body shapes [pdf]

2. Shape from Silhouette

[CGF16] 3d body shapes estimation from dressed-human silhouettes [pdf]

[ICCV15] Interactive visual hull refinement for specular and transparent object surface reconstruction [pdf]

[HPG13] Real-time high-resolution sparse voxelization with application to image-based modeling [pdf]

[TOG08] Articulated Mesh Animation from Multi-view Silhouettes [project page] [pdf] [data]

[ECCV06] Carved visual hulls for image-based modeling [pdf]

[3DPVT06] Visual shapes of silhouette sets [pdf]

[CVIU04] Silhouette and stereo fusion for 3d object modeling [pdf]

[CVPR03] Visual hull alignment and refinement across time: A 3d reconstruction algorithm combining shape-from-silhouette with stereo [pdf]

[CGIT00] Image-based visual hulls [project page][pdf]

3. Multi-view Stereo

[UIST] Holoportation: Virtual 3d teleportation in real-time [project page] [pdf]

[SIGGRAPH15] High-quality streamable free-viewpoint video [project page] [pdf]

[TVCG10] A point-cloud-based multiview stereo algorithm for free-viewpoint video [pdf]

[SIGGRAPH08] Markerless garment capture [project page][pdf]

[CGA07] Surface capture for performance-based animation [pdf]

[TVC05] Scalable 3d video of dynamic scenes [pdf]

[pdf] [pdf] [pdf]

4. Photometric Stereo & Shape from Shading

[ICCV11] Shading-based dynamic shape refinement from multi-view video under general illumination [pdf]

[SIGGRAPH_Asia09] Dynamic shape capture using multi-view photometric stereo [project page] [pdf]

5. Template based Approaches

[TOG13] On-set performance capture of multiple actors with a stereo camera [pdf]

[ECCV12] Full body performance capture under uncontrolled and varying illumination: A shading-based approach [pdf]

[CVPR11] Markerless motion capture of interacting characters using multi-view image segmentation [pdf]

[SIGGRAPH_Asia10] Video-based reconstruction of animatable human characters [project page][pdf]

[SIGGRAPH08] Performance capture from sparse multi-view video [project page][pdf]

[CVPR09] Motion capture using joint skeleton tracking and surface estimation [pdf]

[CVPR08] Robust fusion of dynamic shape and normal capture for high-quality reconstruction of time-varying geometry [pdf]

6. Parametric Models

[CVPR19] Expressive Body Capture: 3D Hands, Face, and Body from a Single Image [project page] [pdf]

[CVPR18 Oral] Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies [project page] [pdf]

[CVPR18] End-to-end recovery of human shape and pose [project page] [code and data] [pdf]

[CVPR17] Unite the people: Closing the loop between 3d and 2d human representations [project page(code and data)] [pdf]

[BMVC17] Indirect deep structured learning for 3D human body shape and pose prediction [pdf]

[ECCV16] Keep it SMPL: Automatic estimation of 3d human pose and shape from a single image [code] [pdf]

[SIGGRAPH_Asia15]SMPL: A skinned multi-person linear model [project page][pdf]

[TOG14] Mosh: Motion and shape capture from sparse markers [project page] [pdf]

[CVPR10] Multilinear pose and body shape estimation of dressed subjects from image sets [pdf]

[ICCV09] Estimating Human Shape and Pose from a Single Image [pdf]

[CVPR07] Detailed human shape and pose from images [pdf]

[SIGGRAPH05] SCAPE: shape completion and animation of people [project page] [pdf]

[CVIU01] Tracking and modeling people in video sequences [pdf]

[project page] [pdf] [project page] [pdf] [project page] [pdf] [project page] [pdf]

[pdf] [pdf] [pdf]

Single-view Reconstruction

[CVPR19 Oral] SiCloPe: Silhouette-Based Clothed People [pdf]

[CVPR19 Oral] Convolutional Mesh Regression for Single-Image Human Shape Reconstruction [pdf]

[CVPR19 Oral] Detailed Human Shape Estimation from a Single Image by Hierarchical mesh deformation [pdf]

[CVPR19] Learning to Reconstruct People in Clothing from a Single RGB Camera [project page] [pdf]

[CVPR19] SimulCap: Single-View Human Performance Capture with Cloth Simulation [pdf]

[CVPR19] Photo Wake-Up: 3D Character Animation from a Single Photo [project page] [pdf]

[TOG19] LiveCap: Real-time Human Performance Capture from Monocular Video [project page] [pdf]

[arxiv19] 3DPeople: Modeling the Geometry of Dressed Humans [pdf]

[arxiv19] Tex2Shape: Detailed Full Human Body Geometry from a Single Image [pdf]

[arxiv19] DeepHuman 3D Human Reconstruction from a Single Image [pdf]

[CVPR18] End-to-end recovery of human shape and pose [project page] [code and data] [pdf]

[3DV18] Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose [pdf]

[ICCV09] Estimating Human Shape and Pose from a Single Image [pdf]

4D Scans

[SIGGRAPH17] ClothCap: seamless 4D clothing capture and retargeting [project page] [pdf]

Datasets and Code

MPI datasets and code[Link]

About

Paper, dataset and code collection on human body reconstruction

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published