MIC casts diffusion motion generation as stochastic control to support both objective-based and criterion-based constraints without training or differentiability requirements.
arXiv preprint arXiv:2410.18977 (2024)
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EMA is a new cross-attention module that uses two kinematic metrics to approximate LMA effort factors and enables numerical, region-wise control of motion intensity in human motion diffusion models.
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Training-free Controllable Human Motion Generation under Heterogeneous Constraints
MIC casts diffusion motion generation as stochastic control to support both objective-based and criterion-based constraints without training or differentiability requirements.
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EMA: Effort Metric Attention for Anatomical Effort-Guided Human Motion Diffusion
EMA is a new cross-attention module that uses two kinematic metrics to approximate LMA effort factors and enables numerical, region-wise control of motion intensity in human motion diffusion models.