jadgardner/neusky-models

NeuSky Checkpoints

This repository contains the scene-specific checkpoints used for the NeuSky experiments in Learning Representations for Incomplete Spherical Scene Signals.

Two collections are provided:

• nerf-osr: the final lk2, lwp and st models used for the NeRF-OSR evaluation and thesis figures.
• synthetic: the final five NeuSky models used in the accepted synthetic benchmark matrix.

Every model directory contains its nerfstudio config.yml, dataparser_transforms.json, and final checkpoint. MODEL_MANIFEST.json records the original source run, byte size and SHA256 of every file. Failed, superseded and diagnostic runs are not included.

All models use the exact channelwise, two-bracket RENI prior released as neusky-prior in jadgardner/reni-models. They do not use the later joint-frame RENI thesis model.

Download

From a clone of NeuSky, download all three NeRF-OSR models:

python scripts/download_models.py model-storage/neusky

Download one scene or the synthetic collection:

python scripts/download_models.py model-storage/neusky --scene lk2
python scripts/download_models.py model-storage/neusky --collection synthetic

The required RENI prior is downloaded from the ns_reni submodule:

python ns_reni/scripts/download_models.py \
  model-storage/reni \
  --group neusky-prior

Files can also be retrieved directly:

hf download jadgardner/neusky-models \
  --revision v1.0.1 \
  --include "nerf-osr/lk2/*" "nerf-osr/lk2/**/*" \
  --local-dir model-storage/neusky

Data

• NeuSky Synthetic v1.0 contains the five released synthetic scene datasets.
• NeuSky NeRF-OSR Overlay v1.0 contains only the NeuSky masks, registered point clouds and environment-map rotations to layer over the official NeRF-OSR data.

The original NeRF-OSR images, poses and environment maps are not redistributed here.

Licence

The NeuSky checkpoint release is available under the Apache License 2.0. Third-party datasets and assets retain their own licences.