Papers by Zhendong Hou

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Challenge:	Existing models do not analyze human preferences at a finer granularity, which leads to quality issues.
Approach:	They propose a set of preference indicators across two major dimensions, text-image consistency and aesthetic quality, and a generative framework to steer the model toward a generation path that more closely aligns with human aesthetic sensibilities.
Outcome:	The proposed model improves target recognition accuracy and overall visual aesthetic presentation by focusing on human preferences.