# ant-research/4DAnyone

[SIGGRAPH Asia 2026] 4DAnyone: Create Anyone in 4D from a Casual Monocular Video

Repository: https://github.com/ant-research/4DAnyone
Canonical: https://ross.abutalabs.com/products/4danyone
Language: Python
License: Apache-2.0
License Family: permissive
Topics: 4d-gaussian-splatting, generative-ai, generative-model, video-generation, video-world-model
Last push: 2026-09-02T19:40:17+00:00

## Health v2 (maintenance only)
Score: 57/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 100, release rhythm 35, longevity 1
- inputs: {"age_days": 23, "days_push": 0, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1125, forks 85 (observed 2026-09-03T02:15:09.101995+00:00)

## Summary
No AI-extracted summary yet.

## Member repositories
- ant-research/4DAnyone (main) score 57

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:09.101995+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Data as of 2026-08-30T08:39:29.467469+00:00.