[NeurIPS 2024] Vidu4D: Single Generated Video to High-Fidelity 4D Reconstruction with Dynamic Gaussian Surfels

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SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement

A collection of papers on diffusion models for 3D generation.

List of papers on 4D Generation.

Code for "Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text" (NeurIPS 2024).

Point-SAM: This is the official repository of "Point-SAM: Promptable 3D Segmentation Model for Point Clouds". We provide codes for running our demo and links to download checkpoints.

[ECCV 2024] Official implementation of the paper "X-Pose: Detecting Any Keypoints"

OpenXRLab foundational library for XR-related algorithms

OpenXRLab Structure-from-Motion Toolbox and Benchmark

OpenXRLab Visual Localization Toolbox and Server

OpenXRLab Synthetic Data Rendering Toolbox

OpenXRLab Multi-view Motion Capture Toolbox and Benchmark

OpenXRLab Visual-inertial SLAM Toolbox and Benchmark

OpenXRLab Neural Radiance Field (NeRF) Toolbox and Benchmark

DUSt3R: Geometric 3D Vision Made Easy

Release for Improved Denoising Diffusion Probabilistic Models

InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

(TPAMI 2024) A Survey on Open Vocabulary Learning

[ECCV 2024, Oral] DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

OpenXRLab XRAPI is an open-source implementation of the Google ARCore and Apple ARKit

LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models (LLM-grounded Diffusion: LMD, TMLR 2024)

[CVPR 2024 Highlight] PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics

Official implementation of AnimateDiff.

Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation

OpenXRLab Multi-Modal Motion Generation Toolbox and Benchmark

Fine-Grained Open Domain Image Animation with Motion Guidance

Official repo for "Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models"

Painter & SegGPT Series: Vision Foundation Models from BAAI

[ICCV 2019] Monocular depth estimation from a single image