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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