fzhiheng

torch-ngp

A pytorch CUDA extension implementation of instant-ngp (sdf and nerf), with a GUI.

HashNeRF-pytorch

Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/

scene-scale-diffusion

The official implementation for "Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data"

CraftsMan

CraftsMan: High-fidelity Mesh Generation with 3D Native Diffusion and Interactive Geometry Refiner

4DGen

"4DGen: Grounded 4D Content Generation with Spatial-temporal Consistency", Yuyang Yin*, Dejia Xu*, Zhangyang Wang, Yao Zhao, Yunchao Wei

BlockFusion

[TOG 2024] BlockFusion: Expandable 3D Scene Generation using Latent Tri-plane Extrapolation

DrivingGaussian

[CVPR 2024] DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes

DrivingDiffusion

Layout-Guided multi-view driving scene video generation with latent diffusion model

SemCity

[CVPR 2024] The official implementation for "SemCity: Semantic Scene Generation with Triplane Diffusion"

Deep-Learning-Interview-Book

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

CV_Notes

「3D视觉(三维重建、SLAM、AR/VR) + 传统图像处理 + 计算机视觉(偏AI) 」重要知识点和面试问题。

eskf_oc

2d-gaussian-splatting

[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields

diff-gaussian-rasterization

diff-gaussian-rasterization-w-depth

SplaTAM

SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM (CVPR 2024)

MonoGS

[CVPR'24 Highlight] Gaussian Splatting SLAM

diff-gaussian-rasterization-w-pose

cccl

CUDA C++ Core Libraries

uncertainty-toolbox

Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

Gaussian-SLAM

Gaussian-SLAM: Photo-realistic Dense SLAM with Gaussian Splatting

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

annotated-transformer

An annotated implementation of the Transformer paper.

RAIN-GS

Code for "Relaxing Accurate Initialization Constraint for 3D Gaussian Splatting" by Jaewoo Jung, Jisang Han, Honggyu An, Jiwon Kang, Seonghoon Park, and Seungryong Kim

Colmap-Free-3D-GS

A PyTorch reproduction of colmap-free 3D Gaussian Splatting (https://arxiv.org/abs/2312.07504). We want to implement it and make it better.

DNGaussian

[CVPR'24] DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization

pycolmap

Python bindings for COLMAP

SuGaR

[CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering

Lightning-NeRF

[ICRA 2024] Lightning NeRF: Efficient Hybrid Scene Representation for Autonomous Driving

DrivingGaussian