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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 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:

  1. The parent directory of data/ (recommended), or
  2. 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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