Style-GRPO
Semantic-Aware Preference Optimization for Image Style Transfer Guided by Reward Modeling
面向图像风格迁移的语义感知偏好优化方法。
Semantic-aware preference optimisation for image style transfer.
大连理工大学 · 人工智能本科生AI Undergraduate · Dalian University of Technology
研究方向:三维视觉、3D Gaussian Splatting、图像风格迁移、事件视觉Research: 3D vision, 3D Gaussian Splatting, image style transfer, event-based vision
我目前就读于大连理工大学人工智能专业,GPA 3.9/5.0,专业排名 11/312。研究兴趣集中在计算机视觉与三维场景表示。
I study Artificial Intelligence at Dalian University of Technology, with a GPA of 3.9/5.0 and a rank of 11/312. My interests are computer vision and 3D scene representation.
两篇论文分别被 CVPR 2026 与 IEEE T-CSVT 接收。目前正在探索 RGB 与事件相机融合的流式三维重建。
Two papers have been accepted by CVPR 2026 and IEEE T-CSVT. I am currently exploring RGB and event-camera fusion for streaming 3D reconstruction.
论文链接会随着公开状态更新。
Links are updated as each paper becomes public.
Semantic-Aware Preference Optimization for Image Style Transfer Guided by Reward Modeling
面向图像风格迁移的语义感知偏好优化方法。
Semantic-aware preference optimisation for image style transfer.
部分研究项目暂未开源,受相关政策和所在单位限制。如需了解更多,欢迎通过邮件联系。Some research projects are not open-sourced due to applicable policies and institutional constraints. Please email me if you would like to learn more.
人工智能专业,工学学士在读B.Eng. candidate in Artificial Intelligence
GPA 3.9/5.0 · Rank 11/312
两篇论文被接收Two papers accepted
关注研究实习、硕士推免与三维视觉相关的长期合作机会。
Open to research internships, graduate opportunities, and long-term collaborations in 3D vision.
yingtaoli38@gmail.com