Retrieving Semantics from the Deep: an RAG Solution for Gesture Synthesis

Figure 1 . Our RAG-GESTURE approach produces semantically meaningful gestures by leveraging explicit knowledge to retrieve exemplar gestures from the sparse semantic data [39] and guiding the diffusion-based generation process through Retrieval Augmentation.