The evidence is solid but not definitive, as the conclusions rely on the absence of changes in spatial breadth and would benefit from clearer statistical justification and a more cautious ...

TL;DR: We propose ReAlign, a plug-and-play reward-guided alignment strategy for text-to-motion generation, which explicitly enhances both semantic consistency and motion realism throughout the ...

😎 Tsinghua University, 🥳 Shanghai AI Laboratory (Correspondence: Jingbo Wang and Bo Dai). This work introduces MotionLCM, extending controllable motion generation to a real-time level. Existing ...