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Unofficial Implementation of `pixelNeRF: Neural Radiance Fields from One or Few Images` [Yu et al.] for NeRFStudio

Project description

nerfstudio-pixel-nerf

Unofficial pixelNeRF integration for Nerfstudio. A framework for training and rendering few-shot Neural Radiance Fields using image-conditioned feature extraction.

Install

uv pip install -e .

Verify method registration

ns-train --help | grep -i pixel-nerf

Dataset Format

This integration uses a custom pipeline to inject source views dynamically into the RayBundle metadata. It is compatible with the standard NerfstudioDataParserConfig. Point the dataparser to a scene root containing a valid transforms.json.

Configure PixelNeRF

Use the pixel-nerf method and set your data paths from the CLI:

ns-train pixel-nerf --data /path/to/scene_root

Or with extended configuration and TensorBoard visualization:

ns-train pixel-nerf \
  --output-dir /path/to/outputs \
  --vis tensorboard \
  --pipeline.datamanager.dataparser.data /path/to/scene_root

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