# Anything-of-anything/Anything-3D

Segment-Anything + 3D. Let's lift anything to 3D.

Repository: https://github.com/Anything-of-anything/Anything-3D
Canonical: https://ross.abutalabs.com/products/anything-3d
Language: Python
License: MIT
License Family: permissive
Topics: 3d, computer-vision, reconstruction, segment, segment-anything
Last push: 2023-06-12T09:40:03+00:00

## Health v2 (maintenance only)
Score: 30/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 88
- inputs: {"age_days": 1238, "days_push": 1178, "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 1633, forks 82 (observed 2026-08-28T04:05:14.262940+00:00)

## What it is
Anything-3D is a Python research project that combines Meta's Segment Anything model with a series of 3D models (3DFuse, Zero 1-to-3, NeRF, HRN) to lift segmented objects from images into 3D. It provides several demos including 3D object reconstruction, novel view synthesis, NeRF scene reconstruction, and face reconstruction from in-the-wild images.

## Use cases
- segment an object from a photo and reconstruct it in 3d
- generate novel views of an object from a single image
- improve nerf reconstruction by removing complex backgrounds
- reconstruct a detailed 3d face from an in-the-wild photo
- experiment with segment anything combined with 3d generation models

## When to choose
- you want to combine segment anything with 3d reconstruction or novel view synthesis models
- you need a reference implementation for segmentation-then-3D pipelines
- you are researching object lifting, NeRF preprocessing, or single-image 3D face reconstruction

## When to avoid
- you need a production-ready or well-maintained tool with ongoing support
- you lack a GPU or cannot set up heavy deep learning dependencies
- you need a polished end-user application rather than research demo code

## Facets
- artifact type: library
- maturity: experimental
- function: computer-vision, image-processing, machine-learning, graphics
- domain: computer-vision, image-processing, deep-learning, graphics
- platform: python
- tags: segment-anything, 3d-reconstruction, nerf, novel-view-synthesis, face-reconstruction, research-demo, linux, gpu

## Member repositories
- Anything-of-anything/Anything-3D (main) score 30

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:14.262940+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 2026-08-30T03:47:10.521236+00:00, confidence not recorded.
  - readme: https://github.com/Anything-of-anything/Anything-3D (fetched 2026-08-28T04:05:14.262940+00:00, sha 369df66b6f63)
- Data as of 2026-08-30T08:39:29.467469+00:00.