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 root (data_root)
Upstream GNT loaders expect paths like:
.../data/real_iconic_noface(llff).../data/nerf_synthetic.../data/google_scanned_objects
In this integration, data_root should point to either:
- The parent directory of
data/(recommended), or - The
data/directory itself.
The datamanager normalizes data_root to the GNT rootdir convention and validates expected dataset folders before training.
Configure GNT
Use the gnt method and set datamanager options from CLI:
ns-train gnt --pipeline.datamanager.data-root /path/to/datasets
For generic Nerfstudio scenes (images/ + transforms.json), use:
ns-train gnt \
--output-dir /path/to/outputs \
--vis tensorboard \
--pipeline.datamanager.train-dataset nerfstudio \
--pipeline.datamanager.eval-dataset nerfstudio \
--pipeline.datamanager.data-root /path/to/scene_root
Smoke check
python test.py
This validates that the exported method specification can be imported and resolved.
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