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pretty_name: Syn4D multi-task benchmark files

Syn4D multi-task benchmark files

This directory contains the portable ground-truth release and protocol metadata for the 512-sequence Syn4D benchmark. The evaluator and model adapters are maintained in Syn4D_benchmark.

Contents

  • data/tracking_gt/<variant>/<scene>/<sequence>.npy: one structured tracking ground-truth file per sequence;
  • sequences.jsonl: portable sequence index with paths relative to a local kaggle_eval root;
  • protocol.json: task definitions, alignment rules, metrics, and aggregation;
  • baselines.json: official baseline repositories, revisions, and task support;
  • SHA256SUMS: integrity checksums for all tracking ground-truth files.

There are 512 sequences: four variants (mixed, mixed_no_bedlam, og, and sim) times eight scenes, eight base sequences, and two cameras. Every task uses frames 0, 6, ..., 186 (32 frames).

Tracking NPY schema

Each file is a non-pickled structured NumPy scalar using schema syn4d-tracking-gt-v1 and can be loaded with np.load(path, allow_pickle=False).

Field Shape Description
schema scalar Schema identifier
sequence_id scalar <variant>/<scene>/<sequence>
tracks_ref0 [32,512,3] 3D trajectories in OpenCV frame-0 camera coordinates
visibility [32,512] Valid/visible correspondence mask
dynamic [512] Dynamic-query labels
query_uv [512,2] Frame-0 source-image query pixels
frame_indices [32] Evaluated source-frame indices
intrinsics [4] [fx, fy, cx, cy]
image_size [2] [height, width]

The tracking benchmark evaluates these fixed 512 sparse queries. The intermediate 4096-query WorldTrack conversion files are not required for evaluation and are intentionally omitted.

Model inputs and the remaining task ground truth are included under this directory's challenge_eval subtree:

  • <variant>/<scene>/mp4/<sequence>.mp4: 512 model-input videos;
  • <variant>/<scene>/exr_layers/depth/<sequence>/: the 32 evaluated depth EXRs;
  • <variant>/<scene>/ground_truth/meta_exr_csv/: camera-pose metadata.

Download and use

git clone https://github.com/jzr99/Syn4D_benchmark.git
cd Syn4D_benchmark
python -m pip install -r requirements.txt
python download_benchmark.py --output data/release
export SYN4D_DATA_ROOT="$PWD/data/release/benchmark/challenge_eval"
export SYN4D_TRACKING_GT="$PWD/data/release/benchmark/data/tracking_gt"

The downloader fetches only the release files needed for evaluation, resumes partial downloads, and verifies the expected file counts. It does not download the much larger source-PNG mirror. See the GitHub README for task-specific downloads and the prediction contract.

Verify the release with:

cd Syn4D_Benchmark/benchmark
sha256sum --check SHA256SUMS

Baseline results

All values are macro-averages over 512 sequences. A dash means the official method does not expose that task through a compatible inference interface.

Method Track score APD Dynamic APD EPE (m) Depth AbsRel Depth delta1 Pose ATE (m) RPE trans. (m) RPE rot. (deg)
Open-D4RT 0.3043 0.3631 0.2317 2.3298 0.1290 0.8408 0.0676 0.0355 0.3872
4RC 0.4763 0.5848 0.3417 1.5925 0.0775 0.9195 0.0370 0.0218 0.1593
V-DPM 0.4880 0.5774 0.3757 1.6371 0.0891 0.9022 0.0375 0.0265 0.1693
Any4D 0.2776 0.3676 0.1701 1.8578 0.1040 0.8874 0.1611 0.1382 0.7645
TraceAnything 0.2206 0.3240 0.1003 2.3577 - - - - -
St4RTrack 0.2575 0.3302 0.1667 2.2390 - - - - -
SpaTrackerV2 0.4334 0.5452 0.2960 1.6163 0.0727 0.9210 0.0444 0.0332 0.1569