Stars
[ICLR 2025] Official implementation of "DiffSplat: Repurposing Image Diffusion Models for Scalable 3D Gaussian Splat Generation".
Official implementation of paper "G4Splat: Geometry-Guided Gaussian Splatting with Generative Prior"
[NeurIPS'25 Spotlight] GeoSVR: Taming Sparse Voxels for Geometrically Accurate Surface Reconstruction
The official repo of paper: HDGS: Textured 2D Gaussian Splatting for Enhanced Scene Rendering
Code for "Multi-Scale 3D Gaussian Splatting for Anti-Aliased Rendering"
Code release for CVPR 2025 paper "Textured Gaussians for Enhanced 3D Scene Appearance Modeling".
MapAnything: Universal Feed-Forward Metric 3D Reconstruction
[SIGGRAPH Asia'24 & TOG] Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes
The official repository for GStex: Per-Primitive Texturing of 2D Gaussian Splatting for Decoupled Appearance and Geometry Modeling
Code for FastVGGT: Training-Free Acceleration of Visual Geometry Transformer
[ICCV'23 Oral, Best Paper Finalist]Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields
Instant neural graphics primitives: lightning fast NeRF and more
[CVPR 2025] Ref-GS : Directional Factorization for 2D Gaussian Splatting
[CVPR 2025] Official PyTorch implementation of MAtCha Gaussians: Atlas of Charts for High-Quality Geometry and Photorealism From Sparse Views
[NeurIPS 2025] Official implementation of the paper "Quantifying and Alleviating Co-Adaptation in Sparse-View 3D Gaussian Splatting."
MVGS: Multi-View Regulated Gaussian Splatting for Novel View Synthesis
[CVPR 2025] EnvGS: Modeling View-Dependent Appearance with Environment Gaussian
[ICCV 2025 & ICCV 2025 RIWM Outstanding Paper] Aether: Geometric-Aware Unified World Modeling
Meet G-CUT3R: a feed-forward model for 3D that actually uses your sensors. Unlike existing RGB-only models, it can leverage camera calibrations, poses, and depth for cleaner, more complete 3D scene…
A re-implementation of decoupled appearance for 3D Gaussian Splatting
Reference PyTorch implementation and models for DINOv3
A collection of useful functions for 3D computer vision and graphics researchers in Python.