Stars
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【CVPR 2025 Highlight】MonSter: Marry Monodepth to Stereo Unleashes Power
A curated list of awesome Deep Stereo Matching resources
[TPAMI 2025 & CVPR 2023] Iterative Geometry Encoding Volume for Stereo Matching
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
[CVPR 2023 Highlight] Neural Kernel Surface Reconstruction
PyTorch Implementation of EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
Implicit Geometric Regularization for Learning Shapes
Lightning fast C++/CUDA neural network framework
Pytorch Trilinear Interpolation
Direct voxel grid optimization for fast radiance field reconstruction.
Project page of paper "Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning"
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)
Codes of MVSFormer: Multi-View Stereo by Learning Robust Image Features and Temperature-based Depth (TMLR2023)
MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous Driving
A Temporal Voyage: Code for "Neural Scene Chronology" [CVPR 2023]
Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).
Segment Anything in 3D with NeRFs (NeurIPS 2023 & IJCV 2025)
A novel neural network architecture that can concurrently achieve real-time performance, competitive accuracy, and strong generalization ability.
VectorMapNet: End-to-end Vectorized HD map learning
Pytorch implementation of our paper "CLRNet: Cross Layer Refinement Network for Lane Detection" (CVPR2022 Acceptance).
[IROS 2024] A LiDAR-inertial odometry (LIO) package that can adjust the execution frequency beyond the sweep frequency
A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF