# MrNeRF/awesome-3D-gaussian-splatting

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.

Repository: https://github.com/MrNeRF/awesome-3D-gaussian-splatting
Canonical: https://ross.abutalabs.com/products/awesome-3d-gaussian-splatting
Language: Python
License: MIT
License Family: permissive
Topics: gaussian-splatting, nerf, 3d-gaussian-splatting, 3dgs, neural-rendering
Last push: 2026-08-18T09:59:38+00:00

## Health v2 (maintenance only)
Score: 71/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 98, release rhythm 35, longevity 75
- inputs: {"age_days": 1053, "days_push": 15, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 8835, forks 539 (observed 2026-08-28T04:10:25.960337+00:00)

## What it is
A curated awesome-list of papers, implementations, datasets, viewers, and learning resources for 3D Gaussian Splatting (3DGS) and related neural rendering technologies. It includes a searchable papers database website and tracks the fast-moving research landscape around 3DGS.

## Use cases
- find papers on 3D gaussian splatting
- compare open-source 3DGS implementations
- learn gaussian splatting from tutorials and courses
- find datasets for training 3D gaussian splatting models
- track new research in neural rendering and radiance fields
- find 3DGS viewers and game engine plugins

## When to choose
- you are researching 3D gaussian splatting or NeRF-adjacent techniques
- you need a starting point to survey the 3DGS ecosystem
- you want to discover implementations, tools, and datasets in one place

## When to avoid
- you need an actual 3DGS training or rendering implementation rather than a resource list
- you need maintained software with support guarantees

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, machine-learning, graphics
- domain: computer-vision, graphics, artificial-intelligence, awesome-lists, tutorials
- platform: python
- tags: awesome-list, 3d-gaussian-splatting, neural-rendering, nerf, curated-list, papers, web-server

## Member repositories
- MrNeRF/awesome-3D-gaussian-splatting (main) score 71

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:25.960337+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:24:49.344085+00:00, confidence not recorded.
  - readme: https://github.com/MrNeRF/awesome-3D-gaussian-splatting (fetched 2026-08-28T04:10:25.960337+00:00, sha 7a18866c2a8d)
- Data as of 2026-08-30T08:39:29.467469+00:00.