kakaobrain/nerf-factory

Health v2 · maintenance only

Flags: no_releases archived

Adoption not part of the score

1272 stars · 103 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A PyTorch library collecting reimplementations of seven popular NeRF (Neural Radiance Fields) models such as NeRF, Mip-NeRF, DVGO, and Ref-NeRF, along with seven standard NeRF benchmark datasets. It provides a unified, extensible framework for training and evaluating NeRF models via Gin-configured run commands.

Use cases

• reproduce NeRF research baselines in PyTorch
• train neural radiance field models on standard datasets
• compare NeRF, Mip-NeRF, DVGO, and Plenoxels implementations
• benchmark novel view synthesis models
• extend NeRF models for new research experiments
• download and prepare standard NeRF benchmark datasets

When to choose

• you need consistent PyTorch reimplementations of multiple classic NeRF models for research comparison
• you want a single framework with bundled dataset handling for NeRF benchmarks
• you are studying NeRF variants and want reference implementations with checkpoints

When to avoid

• you need actively maintained code - the repository is deprecated and development moved to POSTECH-CVLab/NeRF-Factory
• you need modern 3D reconstruction methods like 3D Gaussian Splatting
• you want a production-ready 3D capture pipeline rather than a research codebase

Facets

library · maturity abandoned

machine-learning deep-learning graphics simulation computer-vision graphics machine-learning deep-learning python nerf neural-radiance-fields pytorch 3d-reconstruction novel-view-synthesis deprecated research gpu linux

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markdown · JSON · MCP: product_card(name="kakaobrain/nerf-factory")