# maximeraafat/BlenderNeRF

Easy NeRF synthetic dataset creation within Blender

Repository: https://github.com/maximeraafat/BlenderNeRF
Canonical: https://ross.abutalabs.com/products/blendernerf
Language: Python
License: MIT
License Family: permissive
Topics: ai, blender, computer-graphics, computer-vision, instant-ngp, nerf, python, addons, neural-rendering, gaussian-splatting
Last push: 2024-12-16T22:12:27+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 1514, "days_push": 625, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1014, forks 76 (observed 2026-08-28T04:03:13.852173+00:00)

## What it is
BlenderNeRF is a Blender add-on that generates synthetic NeRF and Gaussian Splatting datasets with a single click, exporting renders and camera parameters. It gives users full control over the 3D scene and camera while producing training and testing data in standard formats like transforms_train..

## Use cases
- create synthetic NeRF training datasets from Blender scenes
- generate camera poses and renders for Gaussian Splatting
- export transforms JSON files for Instant-NGP training
- produce training and test image sets for neural radiance fields
- avoid writing custom code to extract camera parameters in Blender
- build photorealistic synthetic data for computer vision research

## When to choose
- you use Blender and need NeRF or Gaussian Splatting datasets quickly
- you want a one-click GUI workflow instead of custom scripting
- you need full control over scene and camera setup for synthetic data
- you work with formats compatible with Instant-NGP and similar tools

## When to avoid
- you need datasets from real-world captures rather than synthetic scenes
- you use Blender versions older than 4.0.0
- you need a standalone tool outside of Blender
- you require automated large-scale dataset pipelines without a GUI

## Facets
- artifact type: plugin
- maturity: active
- function: image-processing, computer-vision, data-generation, graphics
- domain: computer-vision, graphics, machine-learning, artificial-intelligence
- platform: cross-platform, python
- tags: blender-addon, nerf, gaussian-splatting, synthetic-dataset, neural-rendering, instant-ngp

## Member repositories
- maximeraafat/BlenderNeRF (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:13.852173+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 2026-08-30T07:11:33.692247+00:00, confidence not recorded.
  - readme: https://github.com/maximeraafat/BlenderNeRF (fetched 2026-08-28T04:03:13.852173+00:00, sha 2dc8ddb05053)
- Data as of 2026-08-30T08:39:29.467469+00:00.