Highlights
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Stars
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral
SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM (CVPR 2024)
[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM
State-of-the-art, simple, fast unbounded / large-scale NeRFs.
🎓Automatically Update CV Papers Daily using Github Actions (Update Every 2days)
[ECCV 2024] Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting
PyTorch Implementation of EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
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.
Self-attention、Non-local、SE、SK、CBAM、DANet
[ECCV 2024] MVSGaussian: Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo
[CVPR'24] DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization
Unofficial & improved implementation of NeRF--: Neural Radiance Fields Without Known Camera Parameters
KFNet: Learning Temporal Camera Relocalization using Kalman Filtering (CVPR 2020 Oral)
This is official repo for ICLR 2023 Paper "DENSE RGB SLAM WITH NEURAL IMPLICIT MAPS"
Gaussian Splatting from VGGSfM and Mast3r, and their comparison
[CVPR 2024 Highlight] Map-Relative Pose Regression for Visual Re-Localization
[ICLR 2024] OpenSet 3D Neural Scene Segmentation with Pixel-wise Features and Rendered Novel Views
Code for ICRA2023 paper "NeRF-Loc: Visual Localization with Conditional Neural Radiance Field"
MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition
Official Implementation of our CVPR 2023 paper: "DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields"
DFNet: Enhance Absolute Pose Regression with Direct Feature Matching (ECCV 2022)
[CVPR2024 Oral] Learning to Produce Semi-dense Correspondences for Visual Localization