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ReChar: Revitalising Characters with Structure Preserved and User-Specified Aesthetic Enhancements
SessionGenAI for Images and Videos
DescriptionWe propose ReChar, a framework for artistic character generation that explicitly decouples structure, style, and decorative elements, enabling controllable generation guided by user-defined aesthetics.
Contributors
Zhongyu Yang
Heriot-Watt University
Junhao Song
Imperial College London
Zhang Luo
Seafog AI
Zuhao Yang
Nanyang Technological University (NTU)
Yang Xu
Southern University of Science and Technology
Jingfen Lan
Xidian University
Yonghan Zhang
Heriot-Watt University
Wei Pang
Heriot-Watt University
Siyang Song
University of Exeter
Yingfang Yuan
Heriot-Watt University
Event Type
Technical Communications
TimeWednesday, 17 December 20254:30pm - 4:42pm HKT
LocationMeeting Room S422, Level 4
Registration Categories
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