# sxyu/pixel-nerf

PixelNeRF Official Repository

Repository: https://github.com/sxyu/pixel-nerf
Canonical: https://ross.abutalabs.com/products/pixel-nerf
Homepage: https://alexyu.net/pixelnerf
Language: Python
License: BSD-2-Clause
License Family: permissive
Last push: 2024-06-30T21:29:35+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2102, "days_push": 794, "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 1465, forks 205 (observed 2026-08-28T04:04:48.220919+00:00)

## What it is
Official PyTorch implementation of pixelNeRF, a CVPR 2021 method that predicts neural radiance fields conditioned on one or few input images for feed-forward novel view synthesis. It includes training and evaluation code, pretrained checkpoints, and dataset adapters for ShapeNet, DTU, and SRN benchmarks.

## Use cases
- synthesize novel views of an object from a single image
- reconstruct 3D scene representation from sparse views without test-time optimization
- train a NeRF model across multiple ShapeNet categories
- evaluate single-image view synthesis on DTU and SRN benchmarks
- render custom datasets for NeRF-style training

## When to avoid
- you need per-scene high-fidelity NeRF reconstructions with many views
- you want a production-ready or actively maintained pipeline
- you need the multi-object experiment, which is not yet implemented

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, deep-learning, image-processing, graphics, simulation
- domain: computer-vision, machine-learning, graphics
- platform: python
- tags: neural-radiance-fields, nerf, novel-view-synthesis, 3d-reconstruction, cvpr-2021, pytorch, research-code, research, linux, gpu

## Member repositories
- sxyu/pixel-nerf (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:48.220919+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 2026-08-30T04:35:07.287510+00:00, confidence not recorded.
  - readme: https://github.com/sxyu/pixel-nerf (fetched 2026-08-28T04:04:48.220919+00:00, sha acd7a4f28143)
  - homepage: https://alexyu.net/pixelnerf (fetched 2026-08-29T11:43:25.413539+00:00, sha 0b8256ccf5ce)
- Data as of 2026-08-30T08:39:29.467469+00:00.