awesome-gaussians
github.com/longxiang-ai/awesome-gaussians ↗This repository tracks the latest advancements in 3D Gaussian Splatting from Arxiv, with daily automated updates. Stay up-to-date with cutting-edge research in this exciting field!
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📰 Latest UpdatesCategorized PapersClassic PapersOpen Source ProjectsApplicationsTutorials & Blogs
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Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me scene understanding resources from awesome-gaussians"
Installation instructions →What's inside
Categorized Papers
- 3D Gaussian Splatting and Mesh-Based Digital Twins: An Exploratory Study for Virtual Reality TourismScene Understanding
- 3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality AssessmentScene Understanding
- ACA-GS: Adaptive-Capacity Anchored Gaussian Splatting for Compact Dynamic Radiance FieldsQuality Enhancement
- Advances in Neural 3D Mesh Texturing: A Survey3DGS Surveys
- AniGS: Bridging Rendering and Diffusion Prior for 3D Scene AnimationLarge Scene
- APVI-SLAM: Real-Time Acoustic-Pressure-Visual-Inertial Localization and Photorealistic Mapping System in Complex Underwater Environment3DGS Surveys
Applications
Classic Papers
Tutorials & Blogs
- Introduction to 3D Gaussian Splatting
Official Tutorial
📰 Latest Updates
Open Source Projects
- taichi-3d-gaussian-splatting
3D Gaussian Splatting implemented in Taichi
Showing a sample of 75 resources. View the full list on GitHub →