Stars
TC-Stereo (ECCV2024)
Flexible and scalable template based on PyTorch Lightning + Hydra. Efficient workflow and reproducibility for rapid ML experiments.
AIGC-interview/CV-interview/LLMs-interview面试问题与答案集合仓，同时包含工作和科研过程中的新想法、新问题、新资源与新项目
The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."
[CVPR 2023] DynamicStereo: Consistent Dynamic Depth from Stereo Videos.
Code for "DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal Fusion" (CVPR 2021)
Self-supervised temporally consistent depth estimation
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
[CVPR'24 Best Student Paper] Mip-Splatting: Alias-free 3D Gaussian Splatting
Marr Revisited: 2D-3D Alignment via Surface Normal Prediction
[CVPR'22 Oral] GMFlow: Learning Optical Flow via Global Matching
[SIGGRAPH Asia 2023] Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation
[IROS 2023] TemporalStereo: Efficient Spatial-Temporal Stereo Matching Network
PCVNet (ICCV2023)
PyTorch implementation of KPA-Flow. Learning Optical Flow with Kernel Patch Attention (CVPR-2022)
LightGlue: Local Feature Matching at Light Speed (ICCV 2023)
[CVPR 2023 Highlight] The Official Code for High-Frequency Stereo Matching Network
Extended LaTeX template for CVPR/ICCV papers
[TPAMI 2025 & CVPR 2023] Iterative Geometry Encoding Volume for Stereo Matching
[ECCV 2020] Learning stereo from single images using monocular depth estimation networks
A novel paradigm for collecting and generating stereo training data using neural rendering
[CVPR 2023] Multi-View Azimuth Stereo via Tangent Space Consistency
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
Event-based Vision Resources. Community effort to collect knowledge on event-based vision technology (papers, workshops, datasets, code, videos, etc)