# bmild/nerf

Code release for NeRF (Neural Radiance Fields)

Repository: https://github.com/bmild/nerf
Canonical: https://ross.abutalabs.com/products/nerf
Homepage: http://tancik.com/nerf
Language: Jupyter Notebook
License: MIT
License Family: permissive
Topics: nerf, neural-radiance-fields
Last push: 2025-04-12T16:26:12+00:00

## Health v2 (maintenance only)
Score: 39/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 16, release rhythm 35, longevity 100
- inputs: {"age_days": 2359, "days_push": 508, "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 10927, forks 1430 (observed 2026-08-28T04:10:44.722654+00:00)

## What it is
The official TensorFlow implementation of NeRF (Neural Radiance Fields), the ECCV 2020 paper representing scenes as neural radiance fields for novel view synthesis. It trains a small fully-connected network to map 5D coordinates to color and opacity, enabling differentiable volume rendering of new views of a single scene.

## Use cases
- render novel views of a scene from a sparse set of photos
- reproduce the NeRF paper results
- train a neural radiance field on custom real or synthetic images
- learn how NeRF works with the tiny_nerf Colab notebook
- research baseline for neural scene representation experiments

## When to choose
- you want the original reference implementation of NeRF for research or education
- you have a single GPU and can tolerate hours-to-days of training per scene
- you need the exact code behind the ECCV 2020 paper

## When to avoid
- you need fast, production-quality NeRF training - modern implementations (Instant-NGP, Nerfstudio) are far faster
- you need TensorFlow 2.x or PyTorch - this code targets TensorFlow 1.15
- you want real-time rendering or large multi-scene training

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, deep-learning, graphics, simulation
- domain: computer-vision, graphics, deep-learning, machine-learning
- platform: python
- tags: nerf, neural-radiance-fields, view-synthesis, tensorflow, volume-rendering, 3d-reconstruction, research-code, gpu, linux

## Member repositories
- bmild/nerf (main) score 39

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:44.722654+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 2026-08-29T17:17:20.238143+00:00, confidence not recorded.
  - readme: https://github.com/bmild/nerf (fetched 2026-08-28T04:10:44.722654+00:00, sha 502025b10ba4)
  - homepage: http://tancik.com/nerf (fetched 2026-08-29T08:16:08.761441+00:00, sha 0491a42036ae)
- Data as of 2026-08-30T08:39:29.467469+00:00.