# threestudio-project/threestudio

A unified framework for 3D content generation.

Repository: https://github.com/threestudio-project/threestudio
Canonical: https://ross.abutalabs.com/products/threestudio
Language: Jupyter Notebook
License: Apache-2.0
License Family: permissive
Last push: 2024-12-16T06:11:15+00:00

## Health v2 (maintenance only)
Score: 20/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 88
- inputs: {"age_days": 1245, "days_push": 625, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 7059, forks 555 (observed 2026-08-28T04:09:55.616417+00:00)

## What it is
threestudio is a unified open-source framework for 3D content generation from text prompts, single images, and few-shot images by lifting 2D text-to-image diffusion models. It implements research methods such as DreamFusion, ProlificDreamer, Magic3D, and Zero-1-to-3 in a modular system.

## Use cases
- generate 3d models from text prompts
- create 3d assets from a single image
- reproduce dreamfusion or prolificdreamer research
- text-to-3d generation with stable diffusion
- neural radiance field content creation
- few-shot image to 3d reconstruction

## When to choose
- you need a unified implementation of multiple text-to-3d research methods
- you want to experiment with or extend score-distillation-based 3d generation
- you have a GPU and want to generate 3D content from text or images

## When to avoid
- you need production-ready 3D modeling tools with mesh editing
- you lack a CUDA-capable GPU
- you need fast real-time generation rather than slow optimization-based synthesis

## Facets
- artifact type: framework
- maturity: active
- function: machine-learning, deep-learning, graphics, simulation
- domain: artificial-intelligence, deep-learning, graphics, computer-vision
- platform: python, cross-platform
- tags: 3d-content-generation, text-to-3d, image-to-3d, nerf, diffusion-models, generative-ai, research-framework, gpu, linux

## Member repositories
- threestudio-project/threestudio (main) score 20

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:55.616417+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 2026-08-29T17:40:29.745274+00:00, confidence not recorded.
  - readme: https://github.com/threestudio-project/threestudio (fetched 2026-08-28T04:09:55.616417+00:00, sha 755008444744)
- Data as of 2026-08-30T08:39:29.467469+00:00.