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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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What it does

This project is an automatically updated research library that tracks the latest academic papers on '3D Gaussian Splatting,' a cutting-edge technique for creating highly realistic 3D scenes and objects from photos or video — think of it as a smarter, faster way to build photorealistic 3D visuals. Every day, it scans academic publishing platforms and organizes new papers by topic, so researchers and builders can stay current without manually hunting for updates.

Why it matters

3D Gaussian Splatting is rapidly becoming a foundational technology for industries like gaming, AR/VR, film, e-commerce, and autonomous vehicles, meaning whoever tracks and adopts it earliest gains a significant competitive edge. For PMs and investors, this repository signals where serious R&D momentum is building — nearly 500 application papers and 200+ avatar papers suggest real product opportunities in immersive experiences, digital twins, and AI-generated 3D content are arriving faster than most roadmaps anticipate.

20Active

On the radar — signal detected

Stars
248
Forks
23
Contributors
2
Language
Python

Score updated Mar 23, 2026

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