JointHOI jointly generates hand-object motion and distance-based contact maps in one diffusion stage to improve temporal stability and physical plausibility over prior multi-stage HOI methods.
In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
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CrashTwin recovers metric-scale crash dynamics from monocular rollouts and shows that strong visual scores routinely mask large momentum, energy, and identity violations in world models.
citing papers explorer
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JointHOI: Jointly Generating Contact Maps Enhances Hand Object Interaction Generation
JointHOI jointly generates hand-object motion and distance-based contact maps in one diffusion stage to improve temporal stability and physical plausibility over prior multi-stage HOI methods.
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A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models
CrashTwin recovers metric-scale crash dynamics from monocular rollouts and shows that strong visual scores routinely mask large momentum, energy, and identity violations in world models.