DiMP uses diffusion to infer clean masked positions from visible context and to model full distributions of point displacements rather than means, delivering 11.21% and 13.65% absolute gains on offline and online action segmentation.
Shrec’17 track: 3d hand gesture recognition using a depth and skeletal dataset
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Diffusion Masked Pretraining for Dynamic Point Cloud
DiMP uses diffusion to infer clean masked positions from visible context and to model full distributions of point displacements rather than means, delivering 11.21% and 13.65% absolute gains on offline and online action segmentation.