Starred repositories
StereoRisk: A Continuous Modeling Approach to Stereo Matching
Hallo: Hierarchical Audio-Driven Visual Synthesis for Portrait Image Animation
Official code for the NeurIPS 2022 paper "Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising".
S^3-NeRF: Neural Reflectance Field from Shading and Shadow under a Single Viewpoint (NeurIPS 2022)
Calculate signed distance fields for arbitrary meshes
Differentiable Shadow Mapping for Efficient Inverse Graphics (CVPR 2023)
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
A collection of resources and papers on Diffusion Models
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
A simple script to render RGB-D images of shapenet models with Pyrenderer
HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching
SOS IROS 2018 GOOGLE; StereoNet ECCV2018 GOOGLE; ActiveStereoNet ECCV2018 Oral GOOGLE; HITNET CVPR2021 GOOGLE；PLUME Uber ATG
VA-DepthNet: A Variational Approach to Single Image Depth Prediction
Python code to fuse multiple RGB-D images into a TSDF voxel volume.
Image comparison slider. Compare images before and after. Supports React, Vue, Angular.
CVPR 2022 "Online Convolutional Re-parameterization"
ICRA 2021 "Towards Precise and Efficient Image Guided Depth Completion"
📑 A list of awesome learning-based multi-view stereo papers
Learning auto-regressive depth fusion in the image domain (CVPR 2019)
Source code for the paper "Volumetric 3D Reconstruction with Transformers for Voxel-wise View Selection and Fusion"
[CVPR 2022] Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation
MVSNet: Depth Inference for Unstructured Multi-view Stereo using pytorch-lightning
Code for "Point-based Multi-view Stereo Network" (ICCV 2019 Oral) & "Visibility-aware Point-based Multi-view Stereo Network" (TPAMI)
DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch (ICCV 2019)
SGM，立体匹配StereoMatching最经典应用最广泛算法，4000+引用，兼顾效率和效果。完整实现，代码规范，注释清晰，博客教学！