# awesome-NeRF/awesome-NeRF

A curated list of awesome neural radiance fields papers

Repository: https://github.com/awesome-NeRF/awesome-NeRF
Canonical: https://ross.abutalabs.com/products/awesome-nerf
Language: TeX
License: MIT
License Family: permissive
Topics: nerf
Last push: 2025-01-06T11:03:37+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2106, "days_push": 604, "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 6775, forks 597 (observed 2026-08-28T04:09:48.489094+00:00)

## What it is
A curated awesome-list of neural radiance fields (NeRF) papers, surveys, talks, and implementations. It serves as a research reference index rather than runnable software.

## Use cases
- find papers on neural radiance fields
- learn about NeRF and view synthesis research
- find open-source NeRF implementations
- keep up with new NeRF research
- find NeRF surveys and tutorials
- research 3D scene reconstruction with neural fields

## When to choose
- you need a comprehensive, categorized index of NeRF literature and code
- you are starting research on neural radiance fields or neural rendering
- you want bibtex citations for NeRF papers

## When to avoid
- you need a ready-to-run NeRF implementation rather than a paper list
- you need maintained software with releases and support

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: computer-vision, graphics, machine-learning, tutorials
- platform: cross-platform
- tags: awesome-list, nerf, neural-radiance-fields, papers, 3d-reconstruction, view-synthesis, research-papers

## Member repositories
- awesome-NeRF/awesome-NeRF (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:48.489094+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 2026-08-29T17:42:23.893804+00:00, confidence not recorded.
  - readme: https://github.com/awesome-NeRF/awesome-NeRF (fetched 2026-08-28T04:09:48.489094+00:00, sha 382c4d4aa343)
- Data as of 2026-08-30T08:39:29.467469+00:00.