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LLMs consistently underperform in shared-budget reasoning tasks, revealing a critical gap between their single-task capabilities and multi-task resource allocation.
REST achieves few-step image generation that rivals traditional 40-step methods while slashing training costs by over 75%.
Jointly optimizing 3D human mesh recovery and clothed human reconstruction yields state-of-the-art results, proving that tackling these tasks together is better than addressing them in isolation.
