IVMSP-20: Denoising and Deblurring |
Session Type: Poster |
Time: Thursday, 10 June, 13:00 - 13:45 |
Location: Gather.Town |
Virtual Session: View on Virtual Platform |
Session Chair: Jizhou Li, Stanford University |
IVMSP-20.1: LEARNING INTEGRODIFFERENTIAL MODELS FOR IMAGE DENOISING |
Tobias Alt; Saarland University |
Joachim Weickert; Saarland University |
IVMSP-20.2: UNROLLING OF DEEP GRAPH TOTAL VARIATION FOR IMAGE DENOISING |
Huy Vu; York University |
Gene Cheung; York University |
Yonina C. Eldar; Weizmann Institute of Science |
IVMSP-20.3: LEARNING MODEL-BLIND TEMPORAL DENOISERS WITHOUT GROUND TRUTHS |
Yanghao Li; Tsinghua University |
Bichuan Guo; Tsinghua University |
Jiangtao Wen; Tsinghua University |
Zhen Xia; Tencent Media Lab |
Shan Liu; Tencent Media Lab |
Yuxing Han; Research Institute of Tsinghua University in Shenzhen |
IVMSP-20.4: IMAGE DENOISING BASED ON CORRELATION ADAPTIVE SPARSE MODELING |
Hangfan Liu; University of Pennsylvania |
Jian Zhang; Peking University |
Chong Mou; Peking University |
IVMSP-20.5: NASA: A NOISE-ADAPTIVE AND STRUCTURE-AWARE LEARNING FRAMEWORK FOR IMAGE DEBLURRING |
Xiaokun Liu; Dalian University of Technology |
Long Ma; Dalian University of Technology |
Risheng Liu; Dalian University of Technology |
Wei Zhong; Dalian University of Technology |
Xin Fan; Dalian University of Technology |
Zhongxuan Luo; Dalian University of Technology |
IVMSP-20.6: MULTIPLE AUXILIARY NETWORKS FOR SINGLE BLIND IMAGE DEBLURRING |
Chen Li; Northwestern Polytechnical University |
Qi Wang; Northwestern Polytechnical University |
Shaoteng Liu; Northwestern Polytechnical University |
Xuelong Li; Northwestern Polytechnical University |