codeshim/transpace-playroom-drjohnson

TranSpace — playroom_drjohnson data pack

Data for the released demo of:

TranSpace: Progressive Anchoring for Metric-Consistent Scene Synthesis Hyeshim Kim, Taehei Kim*, Jihun Shin*, Hyeonjin Kim, Sung-Hee Lee — *equal contribution KAIST · ACM Multimedia 2026 (MM '26) doi:10.1145/3767308.3836316

Code: https://github.com/codeshim/transpace

TranSpace synthesizes the transition geometry between two separately captured indoor scenes. This pack contains everything the pipeline needs to reproduce that for the Deep Blending playroom and drjohnson rooms: the two reconstructed rooms, the inpainted keyframes, and every intermediate video. The demo replays these, so no generative model or API key is required.

Download

pip install huggingface_hub

# everything (~19 GB)
hf download codeshim/transpace-playroom-drjohnson --repo-type dataset \
    --local-dir data/playroom_drjohnson

Place it at data/playroom_drjohnson/ inside the code repository, then:

python main.py

Contents

playroom_drjohnson/
├── playroom_aligned/                   room A: images/, sparse/, checkpoints/
├── drjohnson_aligned/                  room B: images/, sparse/, checkpoints/
├── BASE_model/                         floor/threshold voxel model
├── trspace_padding_model_type{0,1,2}/  space_id mask model per variant
├── trspace_source_type{0,1,2}/         inpainted keyframes + intermediate videos
└── playroom_drjohnson_alignment_info_type{0,1,2}.json

Each room directory is self-contained: its COLMAP reconstruction (images/, sparse/) and its trained SVRaster voxel model (checkpoints/) side by side.

Three connector variants are provided for the same room pair — type0 (wing wall), type1 (pony wall), type2 (internal window). Only the RIGHT connector varies; LEFT is an internal window in every variant. A variant's source videos, alignment info and padding model must be used together.

trspace_source_type*/ holds the inputs that were generated offline:

<VIEW>_generated.png	inpainted keyframe
<VIEW>_depth_raw.npy	its aligned metric depth
<START>_<END>_iterNN.mp4	per-iteration transition video
<START>_<END>_iterNN_f2m.mp4 / _m2b.mp4	final-closing segment videos

Provenance and licensing

Derived from the Deep Blending scenes drjohnson and playroom:

Deep Blending for Free-Viewpoint Image-Based Rendering. Hedman, Philip, Price, Frahm, Drettakis, Brostow. ACM ToG 37(6), 2018.

The keyframes were produced with Google Vertex AI Imagen 2 (since retired) and the intermediate videos with DeeVid AI Video Generation V2.1.

Non-commercial use only (research or evaluation). The voxel models are produced by SVRaster, whose license limits the work and its derivatives to non-commercial use.

The paper additionally evaluates on ScanNet++ scenes, which are not redistributed here.

Citation

@inproceedings{kim2026transpace,
  title     = {TranSpace: Progressive Anchoring for Metric-Consistent Scene Synthesis},
  author    = {Kim, Hyeshim and Kim, Taehei and Shin, Jihun and Kim, Hyeonjin and Lee, Sung-Hee},
  booktitle = {Proceedings of the 34th ACM International Conference on Multimedia (MM '26)},
  year      = {2026},
  publisher = {ACM},
  doi       = {10.1145/3767308.3836316}
}