SPECIAL session 1

Chair:
Wuzhen Shi, Shenzhen University, China
Contact email: wzhshi@szu.edu.cn

Co-Chairs：
Yutao Liu, Ocean University of China | Email: liuyutao@ouc.edu.cn
Wei Zhang, Karolinska Institutet, Sweden | Email: weizhang.2@ki.se
Siwei Meng, University of Nevada, Reno | Email: siweim@unr.edu

Submission Link: http://www.easychair.org/conferences/?conf=icivc2026 (Select Track Special Session 1)

Introduction:

Generative AI has revolutionized image and vision. This session, themed “Generative AI-driven Image and Vision Innovation”, is a platform for global experts to exchange cutting-edge research. This session invites papers focusing on technical breakthroughs, application case studies, and ethical considerations across these themes. Discussions will center on integrating generative AI with core vision technologies to unlock new possibilities, while we also welcome submissions on lightweight solutions and cross-domain adaptation strategies. It aims to facilitate knowledge exchange, accelerate achievement transformation, and shape the future trajectory of the image and vision industry.

Topics:

Generative AI for quality image restoration
Cross-domain generative vision transfer learning
AI-generated visual content authenticity detection
Generative 3D vision modeling & lightweight rendering
Real-time Visual Super-resolution via Generative AI
Cross-modal Visual Content Generation
Edge Deployment of Lightweight Generative Vision Models
Interactive Personalized Visual Content Generation
Medical Image Reconstruction with Generative AI
AI-generated Fake Visual Content Traceability & Detection