SiggraphAsia2026VVC

This public release contains the Siggraph Asia 2026 Volumetric Video Challenge data for siga and selfcap.

Structure

SiggraphAisa2026VVC/
  siga/
    compression/{val,test}/<case>.tar
    sparse/{val,test}/<case>.tar
  selfcap/
    compression/test/<case>.tar
    sparse/test/<case>.tar
  release_manifest.json
  archive_manifest.json
  checksums.sha256
  license.txt

Each extracted case keeps the camera/data layout:

<case>/
  images/<view>/<frame>.jpg or .png
  extri.yml
  intri.yml
  train_extri.yml
  train_intri.yml
  t_offsets.json
  pcds/                 # when available

For public test cases, held-out test images and held-out test camera files are intentionally omitted. Public extri.yml, intri.yml, and t_offsets.json are filtered to released views only.

All selfcap cases are provided as public test cases only. The released selfcap frames are indexed 000900.jpg through 001799.jpg.

Held-out Test Cameras

The main public archives omit held-out test-view images and held-out test camera files. When the challenge phase requires camera release for hidden test views, use the separate camera-only package:

heldout_test_cameras/SiggraphAisa2026VVC_heldout_test_cameras.tar

This package contains no RGB images, masks, point clouds, checkpoints, or rendered results. Each extracted case mirrors the main dataset path and contains only camera metadata for held-out test views:

intri.yml
extri.yml
test_intri.yml
test_extri.yml
t_offsets.json
README.txt

heldout_test_cameras/heldout_test_camera_manifest.json lists the included cases and held-out view names. heldout_test_cameras/checksums.sha256 gives the archive checksum.

Baseline Code

The repository also includes a baseline implementation under baseline_code/. This code release is the cleaned FTGSPP baseline used for the challenge data. It is provided in the same dataset repository for convenience and does not change the dataset layout under siga/ or selfcap/.

baseline_code/
  README.md
  LICENSE
  THIRD_PARTY.md
  pyproject.toml
  uv.lock
  Dockerfile
  configs/
  ftgspp/
  scripts/
  CODE_RELEASE_MANIFEST.json
  checksums.sha256

Start from the baseline README:

cd baseline_code
bash scripts/install_env.sh
.venv/bin/python -m ftgspp.run data=<your_config> pipeline=check
.venv/bin/python -m ftgspp.run data=<your_config> run.gpu=0

baseline_code/CODE_RELEASE_MANIFEST.json lists the files included in the code release. Large training outputs, checkpoints, videos, caches, and datasets are intentionally excluded.

Manifest

release_manifest.json lists the released public view IDs and counts for every dataset / track / split / case. It does not expose held-out test-view IDs.

archive_manifest.json and checksums.sha256 describe the upload-ready tar files.

License

See license.txt.