IVMSP-P9: Image/video super-resolution
Wed, 17 Apr, 13:10 - 15:10 (UTC +9)
Location: Poster Zone 2B
Session Type: Poster
Session Chair: Delu Zeng, South China University of Technology
Track: Image, Video, and Multidimensional Signal Processing
Click the to view the manuscript on IEEE Xplore Open Preview
 

IVMSP-P9.1: EFFICIENT HIERARCHICAL STRIPE ATTENTION FOR LIGHTWEIGHT IMAGE SUPER-RESOLUTION

Xiaying Chen, Yue Zhou, Shanghai Jiao Tong University, China
 

IVMSP-P9.2: RECOGNITION-GUIDED DIFFUSION MODEL FOR SCENE TEXT IMAGE SUPER-RESOLUTION

Yuxuan Zhou, Liangcai Gao, Zhi Tang, Baole Wei, Peking University, China
 

IVMSP-P9.4: NLSIT: A NON-LOCAL STEREO INTERACTION TRANSFORMER FOR STEREO IMAGE SUPER-RESOLUTION

Huiyun Cao, Tsinghua University, China; Wenqi Huang, Digital Grid Research Institute, China Southern Power Grid, China; Wenming Yang, Tsinghua University, China
 

IVMSP-P9.5: ATTENTION-BASED SPATIAL-FREQUENCY INFORMATION NETWORK FOR UNDERWATER SINGLE IMAGE SUPER-RESOLUTION

Alik Pramanick, Dhruvil Megha, Arijit Sur, Indian Institute of Technology Guwahati, India
 

IVMSP-P9.6: DEGAN: DISCRIMINATION ENHANCED GAN FOR PERCEPTUAL-ORIENTED SUPER-RESOLUTION

Xiaoyu Jin, Tsinghua University, China; Wenqi Huang, Lingyu Liang, Yang Wu, Qunsheng Zeng, Ruiye Zhou, Zhuojun Cai, Jianing Shang, Digital Grid Research Institute, China Southern Power Grid, China; Wenming Yang, Tsinghua University, China
 

IVMSP-P9.7: Adaptive Super Resolution For One-Shot Talking-Head Generation

Luchuan Song, Pinxin Liu, University of Rochester, United States of America; Guojun Yin, University of Science and Technology of China, China; Chenliang Xu, University of Rochester, United States of America
 

IVMSP-P9.8: EFFICIENT FUSION OF DEPTH INFORMATION FOR DEFOCUS DEBLURRING

Jucai Zhai, Yang Liu, Pengcheng Zeng, Chihao Ma, Xinan Wang, Yong Zhao, Peking University, China
 

IVMSP-P9.9: Single Image Reflection Removal using Feature Difference Enhancement

Haifeng Zhao, Rui Zhou, Shaojie Zhang, Yanping Fu, Anhui University, China
 

IVMSP-P9.10: PANORAMIC IMAGE INPAINTING WITH GATED CONVOLUTION AND CONTEXTUAL RECONSTRUCTION LOSS

Li Yu, Yanjun Gao, Nanjing University of Information Science and Technology, China; Farhad Pakdaman, Moncef Gabbouj, Tampere University, Finland
 

IVMSP-P9.11: CORRECTING FAULTY ROAD MAPS BY IMAGE INPAINTING

Soojung Hong, ETH Zurich, Switzerland; Kwanghee Choi, Carnegie Mellon University, United States of America
 

IVMSP-P9.12: ESTGN: ENHANCED SELF-MINED TEXT GUIDED SUPER-RESOLUTION NETWORK FOR SUPERIOR IMAGE SUPER RESOLUTION

Qipei Li, Zefeng Ying, Da Pan, Communication University of China, China; Zhaoxin Fan, Psyche AI Inc, China; Ping Shi, Communication University of China, China