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Unnoficial Implementation for GNT (Generalizable NeRF Transformer | Varma et al) on NeRFStudio

Project description

nerfstudio-gnt

Unofficial GNT (Generalizable NeRF Transformer) integration for Nerfstudio.

Install

uv pip install -e .

Verify method registration

ns-train --help | grep -i gnt

Dataset format

This integration uses Nerfstudio's native VanillaDataManager with NerfstudioDataParserConfig. Point the dataparser to a scene root containing transforms.json.

Configure GNT

Use the gnt method and set datamanager options from CLI:

ns-train gnt --pipeline.datamanager.data-root /path/to/datasets
ns-train gnt \
  --output-dir /path/to/outputs \
  --vis tensorboard \
  --pipeline.datamanager.dataparser.data /path/to/scene_root

Smoke check

python test.py /path/to/scene_root/transforms.json

This runs one train step through GNTPipeline.get_train_loss_dict and checks source-view tensor shapes.

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