TP2.L305.3
RESTORATION OF EXTREMELY COMPRESSED BACKGROUND FOR VCM USING GUIDED GENERATIVE PRIORS
Le Thi Hue Dao, An Gia Vien, Dongguk University, Korea, Republic of; Jooyoung Lee, Seyoon Jeong, Electronics and Telecommunications Research Institute, Korea, Republic of; Chul Lee, Dongguk University, Korea, Republic of
Session:
TP2.L305: Image Restoration and Denoising Lecture
Track:
Image and Video Processing
Location:
Room 305
Presentation Time:
Tue, 10 Oct, 17:06 - 17:24 Malaysia Time (UTC +8)
Session Chair:
Anil Kokaram, Trinity College Dublin
Session TP2.L305
TP2.L305.1: DEGRADATION CONDITIONED GAN FOR DEGRADATION GENERALIZATION OF FACE RESTORATION MODELS
Qi Song, Wu Shi, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China; Guojing Ge, Institute of Automation, Chinese Academy of Sciences, China; Liang Chang, School of Artificial Intelligence, Beijing Normal University, China
TP2.L305.2: Deep robust image restoration using the Moore-Penrose blur inverse
Santiago López-Tapia, Northwestern University, United States of America; Javier Mateos, Rafael Molina, Universidad de Granada, Spain; Aggelos K. Katsaggelos, Northwestern University, United States of America
TP2.L305.3: RESTORATION OF EXTREMELY COMPRESSED BACKGROUND FOR VCM USING GUIDED GENERATIVE PRIORS
Le Thi Hue Dao, An Gia Vien, Dongguk University, Korea, Republic of; Jooyoung Lee, Seyoon Jeong, Electronics and Telecommunications Research Institute, Korea, Republic of; Chul Lee, Dongguk University, Korea, Republic of
TP2.L305.4: A MULTI-STREAM NETWORK FOR MESH DENOISING VIA GRAPH NEURAL NETWORKS WITH GAUSSIAN CURVATURE
Zhibo Zhao, Wenhui Wu, Shenzhen University, China; Hongjie Liu, Reexen Ltd, China; Yuanhao Gong, Shenzhen University, China
TP2.L305.5: MULTIMODAL GRAPH SIGNAL DENOISING WITH SIMULTANEOUS GRAPH LEARNING USING DEEP ALGORITHM UNROLLING
Keigo Takanami, Tokyo University of Agriculture and Technology, Japan; Yukihiro Bandoh, Seishi Takamura, NTT Corporation, Japan; Yuichi Tanaka, Osaka University, Japan
Contacts