[SIGGRAPH Asia'24 & TOG] Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes

[ECCV 2024] MVSGaussian: Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo

neuralsim: 3D surface reconstruction and simulation based on 3D neural rendering.

[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

GigaGS: Scaling up Planar-Based 3D Gaussians for Large Scene Surface Reconstruction

awesome-autonomous-driving

A Modular Framework for 3D Gaussian Splatting and Beyond

[CVPR 2024] Code for SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes

[CVPR 2024] Official implementation of "Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction"

[CVPR 2024] GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting

Photo-realistic mapping of dynamic urban areas

Code Release for "Bilateral Guided Radiance Field Processing"

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

CUDA accelerated rasterization of gaussian splatting

PyTorch Implementation of EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision

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.

Modules, operators and utilities for 3D neural rendering in single-object, multi-object, categorical and large-scale scenes.

LetsGo: Large-Scale Garage Modeling and Rendering via LiDAR-Assisted Gaussian(Published in SIGGRAPH Asia 2024)

hf-mirror-cli 使用国内镜像，无需配置开箱即用，快速下载hugingface上的模型

[CVPR2024] NeuRAD: Neural Rendering for Autonomous Driving

GLOMAP - Global Structured-from-Motion Revisited

Instant-angelo: Build high-fidelity Digital Twin within 20 Minutes!

NeuRodin: A Two-stage Framework for High-Fidelity Neural Surface Reconstruction

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

Implementation of MeshGPT, SOTA Mesh generation using Attention, in Pytorch

This is an unofficial Implementation

From anything to mesh like human artists. Official impl. of "MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization"