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PyTorch Implementation of Diffusion Schrodinger Bridge Matching
Annotated Flow Matching paper
The only guide you need to learn everything about GMM
Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille
Official code for ECCV2024 paper: GScream: Learning 3D Geometry and Feature Consistent Gaussian Splatting for Object Removal
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
The official implementation of SAGA (Segment Any 3D GAussians)
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching using pytorch-lightning
daily update NeRF releated paper on arxiv
[CVPR'24] Group Anything with Radiance Fields
[CVPR 2024 Highlight] Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields
Official implemetation of the paper "Semantic Gaussians: Open-Vocabulary Scene Understanding with 3D Gaussian Splatting".
Learning with 3D rotations, a hitchhiker’s guide to SO(3) - ICML 2024
lilygoli / SpotLessSplats
Forked from nerfstudio-project/gsplatCode for SpotLessSplats: Ignoring Distractors in 3D Gaussian Splatting built on gsplat codebase.
InstantSplat: Sparse-view SfM-free Gaussian Splatting in Seconds
A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond
A geometry-shader-based, global CUDA sorted high-performance 3D Gaussian Splatting rasterizer. Can achieve a 5-10x speedup in rendering compared to the vanialla diff-gaussian-rasterization.
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
Self-contained, minimalistic implementation of diffusion models with Pytorch.
DynaSLAM is a SLAM system robust in dynamic environments for monocular, stereo and RGB-D setups
DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing
Official code and checkpoint release for mobile robot foundation models: GNM, ViNT, and NoMaD.
Unified Line Segment Detection
这是一本关于SLAM的书稿,希望能清楚的介绍SLAM系统中的使用的几何方法和深度学习方法。书稿最后应该会达到200页左右,书稿每章对应的代码也会被整理出来。
Official implementation of the paper "LangSplat: 3D Language Gaussian Splatting" [CVPR2024 Highlight]