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WorldCrafter-Fast — Orbia Path A submission

Generated videos and self-evaluation results for all 720 Orbia cases (480 short, 240 long). This is a self-evaluated submission package, not an organizer-verified leaderboard entry.

Model: TencentARC/WorldCrafter. Benchmark: worldbench/Orbia.

Generation settings

  • Official per-case scene captions, with no added first/third-person or camera-motion instructions.
  • Input images resized directly to 640 x 384; no crop. Output is H.264 MP4, 16 FPS.
  • 357 frames for short cases and 961 for long cases; padded generation tails removed.
  • Camera-conditioned generation; requested relative camera trajectory and translation units retained.
  • Fast native intrinsics: UCPE horizontal FOV 100 degrees, xi=0; RepEncoder nominal fx=fy=640, cx=320, cy=192. Dataset intrinsics are recorded in conditions but are NOT used to adapt Fast. Consequently this setup does not exactly reproduce the dataset camera intrinsics.
  • 6 inference steps, CFG 1, seed 42, gravity alignment disabled.
  • Fast weights: TencentARC/WorldCrafter-Fast revision d2ac12a654f8cafde4cb2e0ae7d5127ce2624939.
  • Orbia dataset revision: 5edae28cca27eaed64a144882237ab70a539747e.
  • Orbia evaluator commit: f7d8ddde3069a6d5ce75a87fa6b4fc896cc78a59.
  • Evaluation settings and checkpoint choices follow that official evaluator; local paths are adapted. PyArrow 17.0.0 was pinned for compatibility with the evaluator's NumPy 1.x environment.
  • Evaluation profile: group=world, control_profile=pose_and_action; all T1–T6 tiers evaluated.

Results

Metric Score
T1 85.788532
T2 73.263235
T3 78.205282
T4 84.770282
T5 70.717818
T6 86.850484
Overall 80.502377

All scores were recomputed from the complete set of 720 per-case reports with the official aggregator. The rank fields in scores.json compare only models in this submission (one model), not the public leaderboard.

Files

  • videos/: one original generated MP4 per case; no re-encoding during packaging.
  • conditions/: per-case camera/intrinsics policy, timeline and input hashes.
  • results/scores/: globally aggregated scores.
  • results/worldcrafter-fast/results/<case_id>/report.json: original evaluation reports.
  • provenance/: original completion markers and pinned model/evaluator provenance.
  • validation.json: hash, coverage, aggregation and official submission-check results.
  • SHA256SUMS: checksums of the submission files, excluding this checksum file itself.

Historical runtime paths in the original reports/markers are provenance, not files required to open the videos. Original dataset inputs, reference images/depth, model weights, credentials and runtime logs are not included.

Validation

From the pinned Orbia checkout with its dataset available:

python tools/check_submission.py /path/to/this/repository --dataset /path/to/orbia-data

Attribution and use

This package is intended for non-commercial research and Orbia leaderboard verification. It derives from Orbia/Orbia, released under CC BY-NC-SA 4.0; source-specific terms and the benchmark's attribution requirements continue to apply. Model code and weights are available separately under their respective licenses.

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