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.

A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.

Several simple examples for popular neural network toolkits calling custom CUDA operators.

[CVPR 2024 Highlight] Code for "HumanGaussian: Text-Driven 3D Human Generation with Gaussian Splatting"

This is an official repository for "Depth-Regularized Optimization for 3D Gaussian Splatting in Few-Shot Images"

Downstream-Dino-V2: A GitHub repository featuring an easy-to-use implementation of the DINOv2 model by Facebook for downstream tasks such as Classification, Semantic Segmentation and Monocular dept…

An extension to official diff-gaussian-rasterization with forward and backward depth pass

Pytorch implementation of paper: "NeurMiPs: Neural Mixture of Planar Experts for View Synthesis"

A photorealistic intrinsic dataset

The repository of paper "Implicit-explicit Integrated Representations for Multi-view Video Compression"

ICMEW:A_Generative_Compression_Framework_For_Low_Bandwidth_Video_Conference

Code to reproduce results from the paper https://arxiv.org/abs/2503.21708