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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