MoCLIP fine-tunes CLIP's text encoder on motion-text pairs using contrastive learning and a distillation loss, and swapping it into MoMask and BAMM improves R-Precision by about 1 to 2 percent while FID stays roughly the same.
Make-an-animation: Large-scale text- conditional 3d human motion generation
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MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation
MoCLIP fine-tunes CLIP's text encoder on motion-text pairs using contrastive learning and a distillation loss, and swapping it into MoMask and BAMM improves R-Precision by about 1 to 2 percent while FID stays roughly the same.