hand-generation

This paper introduces Implicit Preference Alignment (IPA), a data-efficient post-training framework that improves hand motion generation in human image animation without requiring paired preference data. It utilizes implicit reward maximization and hand-aware local optimization to enhance generation quality while reducing data curation costs.