BRACE is a dataset for audio-conditioned dance motion synthesis challenging common assumptions for this task:

• strong music-dance correlation
• controlled motion data
• simple poses and movements

To address these issues:

• We focus on breakdancing which features acrobatic moves, tangled postures and weaker dance-music correlation.
• We adopt a hybrid labelling pipeline leveraging estimation models as well as manual annotations to obtain good quality keypoint sequences at a reduced cost.
• Our efforts produced the BRACE dataset, which contains over 3 hours and 30 minutes of densely annotated poses.
• BRACE is also useful to fine-tune pose-estimation models thanks to its high quality keypoint annotations for complicated and uncommon poses.