MCG-IMM uses evolutionary multi-criteria optimization during sampling to increase the intra-batch diversity of in-betweening human motions generated by any pretrained model.
An introduction to varia- tional autoencoders.Foundations and Trends® in Machine Learning, 12(4):307–392, 2019
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A Plug-and-Play Multi-Criteria Guidance for Diverse In-Betweening Human Motion Generation
MCG-IMM uses evolutionary multi-criteria optimization during sampling to increase the intra-batch diversity of in-betweening human motions generated by any pretrained model.