VBench-2.0

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VBench-2.0 (S-Lab, NTU and Shanghai AI Laboratory) is the intrinsic-faithfulness successor to VBench. It is not interchangeable with the 16-dimension quality suite. 18 fine-grained abilities group into five pillars that average into vbench2_total:

  • Creativity — composition, diversity.
  • Commonsense — instance preservation, motion rationality.
  • Controllability — camera, landscape, plot, dynamic, interaction, motion-order.
  • Human fidelity — anatomy, clothes, identity.
  • Physics — material, mechanics, multi-view consistency, thermotics.

Paper: VBench-2.0. Project: vchitect.github.io/VBench-2.0-project. Code: Vchitect/VBench. Snapshots: Vchitect/VBench-2.0_sampled_videos, _human_annotation, _human_anomaly.

WorldFoundry vendors the VBench-2.0 runtime. The runner checks prompt-suite coverage (vbench2_dataset_manifest.json, vbench2_video_coverage.json) before dispatching evaluators. A bounded diversity component is verified; the full suite is not. Some dims need RetinaFace or other heavyweight judges.

Official paper teaser: VBench-2.0’s intrinsic-faithfulness dimension suite.
Official paper teaser: VBench-2.0’s intrinsic-faithfulness dimension suite.

Dimensions

  • Creativity
    KindCategory

    Composition and diversity.

  • Commonsense
    KindCategory

    Instance preservation and motion rationality.

  • Controllability
    KindCategory

    Camera, landscape, plot, dynamic, interaction, motion-order.

  • Human fidelity
    KindCategory

    Anatomy, clothes, identity.

  • Physics
    KindCategory

    Material, mechanics, multi-view consistency, thermotics.

Data composition

  • Size

    18 fine-grained abilities in five pillars (creativity, commonsense, controllability, human fidelity, physics). Not interchangeable with VBench's 16-dimension quality suite. HF snapshots: Vchitect/VBench-2.0_*.

  • Sources

    Vchitect/VBench-2.0_sampled_videos · Vchitect/VBench-2.0_human_annotation · Vchitect/VBench-2.0_human_anomaly · github.com

  • Modalities

    text · generated-video

  • License

    unknown_pending_review

  • Notes

    WorldFoundry vendors the VBench-2.0 runtime and writes coverage manifests. A bounded diversity component is verified; the full suite is not.

Metrics

Metric

  • vbench2_creativity
    DirectionHigher is better

    Official VBench-2.0 creativity group aggregated from Composition and Diversity dimensions.

  • vbench2_commonsense
    DirectionHigher is better

    Official VBench-2.0 commonsense group aggregated from Instance Preservation and Motion Rationality.

  • vbench2_controllability
    DirectionHigher is better

    Official VBench-2.0 controllability group aggregated from camera, landscape, plot, dynamic, interaction, and motion-order dimensions.

  • vbench2_human_fidelity
    DirectionHigher is better

    Official VBench-2.0 human fidelity group aggregated from anatomy, clothes, and identity dimensions.

  • vbench2_physics
    DirectionHigher is better

    Official VBench-2.0 physics group aggregated from material, mechanics, multi-view consistency, and thermotics dimensions.

  • vbench2_total
    DirectionHigher is better

    Mean of VBench-2.0 creativity, commonsense, controllability, human fidelity, and physics group scores.

    PrimaryVBench-2.0 Total

Leaderboard

Official live board, embedded on this page. Not WorldFoundry-run scores. Hugging Face Space (Vchitect, VBench-2.0 tab).

huggingface.co · LiveOpen live board

How to run

${WORLDFOUNDRY_UNIFIED_PYTHON} \
  worldfoundry/evaluation/tasks/execution/runners/vbench_2_0/run_vbench_2_0_official_runner.py \
  --benchmark-id vbench-2.0 \
  --variant vbench2 \
  --dimension Motion_Order_Understanding \
  --videos-path "${WORLDFOUNDRY_GENERATED_ARTIFACT_DIR}" \
  --vbench2-dataset-root "${WORLDFOUNDRY_VBENCH2_DATASET_ROOT}" \
  --output-dir tmp/vbench-2.0/dimension \
  --json

Env: WORLDFOUNDRY_VBENCH2_DATASET_ROOT, WORLDFOUNDRY_VBENCH2_RESULTS_PATH, WORLDFOUNDRY_VBENCH2_ROOT, WORLDFOUNDRY_HF_CACHE_DIR. Shared stack: vbench_perception_metric_stack.

In-tree pointers: worldfoundry/data/benchmarks/tasks/external/vbench-2.0.yaml, worldfoundry/evaluation/tasks/execution/runners/vbench_2_0/runtime.

Outputs include scorecard.json (primary vbench2_total), dimension_scores.json, and coverage manifests.

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