doanh25032004apache-2.0
Video World Model Acceleration - Qualitative Quality Ladder
A qualitative benchmark dataset showing the degradation of a video world model (Cosmos-Predict2 2B DiT) as WorldCache diffusion caching is progressively applied, from quality-preserving to complete collapse. Includes single-view and multi-view robot manipulation videos with detailed fidelity metrics.
Downloads35
Episodes8
Why This Matters for Physical AI
This dataset demonstrates the trade-offs between inference speed and visual fidelity in video world models for robotics, crucial for understanding practical deployment constraints of generative models in embodied AI systems.
Technical Profile
- Modalities
- rgb
- Robot Embodiments
- humanoid
- Environment
- lab
- Task Types
- manipulation
- Episodes
- 8
- Data Format
- mp4
- Annotation Types
- quality_metrics
- License
- apache-2.0
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