# google/nerfies

This is the code for Deformable Neural Radiance Fields, a.k.a. Nerfies.

Repository: https://github.com/google/nerfies
Canonical: https://ross.abutalabs.com/products/nerfies
Homepage: https://nerfies.github.io
Language: Python
License: Apache-2.0
License Family: permissive
Topics: neural-rendering, nerf, 3d, neural-network, machine-learning
Archived: true
Last push: 2024-04-22T20:43:02+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2050, "days_push": 863, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1973, forks 277 (observed 2026-08-28T04:06:01.156008+00:00)

## What it is
Nerfies is the official JAX implementation of Deformable Neural Radiance Fields, which reconstructs non-rigidly deforming scenes from casually captured phone videos. It augments NeRF with a continuous deformation field and elastic regularization to produce free-viewpoint, photorealistic renderings of subjects like selfie portraits.

## Use cases
- turn selfie videos into free-viewpoint 3D portraits
- reconstruct deformable scenes from casual phone captures
- train a deformable NeRF model from a video dataset
- render novel viewpoints of a non-rigid subject
- create dolly zoom and other visual effects
- extract mattes of a subject during rendering
- animate between captured states via interpolation

## When to choose
- you need photorealistic novel views of a deforming subject from phone video
- you want a research-grade reference implementation of deformable NeRF in JAX
- you have GPU or TPU resources for offline training
- you want to build on or extend NeRF deformation research

## When to avoid
- you need real-time rendering or interactive performance
- you want a plug-and-play app with no training setup
- you work outside Python/JAX ecosystems
- you need actively developed features or support, since updates are infrequent

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, graphics, image-processing, simulation
- domain: computer-vision, graphics, machine-learning, deep-learning
- platform: python, cross-platform
- tags: nerf, neural-rendering, jax, 3d-reconstruction, deformable-scenes, novel-view-synthesis, research-code, gpu, linux

## Member repositories
- google/nerfies (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:01.156008+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 2026-08-30T03:04:58.638199+00:00, confidence not recorded.
  - readme: https://github.com/google/nerfies (fetched 2026-08-28T04:06:01.156008+00:00, sha 972b4ad15c01)
  - homepage: https://nerfies.github.io (fetched 2026-08-29T10:44:13.098513+00:00, sha 442022926e3f)
- Data as of 2026-08-30T08:39:29.467469+00:00.