IVMSP-29.4
LEARNING ADJUSTABLE IMAGE RESCALING WITH JOINT OPTIMIZATION OF PERCEPTION AND DISTORTION
Zhihong Pan, Baidu Research (USA), United States of America
Session:
Inverse Problems
Track:
Image, Video, and Multidimensional Signal Processing
Location:
Gather Area I
Presentation Time:
Wed, 11 May, 22:00 - 22:45 China Time (UTC +8)
Wed, 11 May, 14:00 - 14:45 UTC
Wed, 11 May, 14:00 - 14:45 UTC
Session Chair:
Rosa Gonzalez Hautamaeki, National University of Singapore
Session IVMSP-29
IVMSP-29.1: LOW-LIGHT IMAGE ENHANCEMENT VIA FEATURE RESTORATION
Yang Yang, Xiaojie Guo, Tianjin university, China; Yonghua Zhang, Henan University, China
IVMSP-29.2: HIRL: Hybrid Image Restoration based on Hierarchical Deep Reinforcement Learning via Two-Step Analysis
Xiaoyu Zhang, Wei Gao, School of Electronic and Computer Engineering, Peking University, Shenzhen, China. Peng Cheng Laboratory, Shenzhen, China., China
IVMSP-29.3: High-fidelity Portrait Editing via Exploring Differentiable Guided Sketches from the Latent Space
Chengrong Wang, Chenjie Cao, Yanwei Fu, Xiangyang Xue, Fudan University, China
IVMSP-29.4: LEARNING ADJUSTABLE IMAGE RESCALING WITH JOINT OPTIMIZATION OF PERCEPTION AND DISTORTION
Zhihong Pan, Baidu Research (USA), United States of America
IVMSP-29.5: FSOINET: FEATURE-SPACE OPTIMIZATION-INSPIRED NETWORK FOR IMAGE COMPRESSIVE SENSING
Wenjun Chen, Chunling Yang, Xin Yang, South China University of Technology, China
IVMSP-29.6: DISENTANGLED FEATURE-GUIDED MULTI-EXPOSURE HIGH DYNAMIC RANGE IMAGING
Keuntek Lee, Yeong Il Jang, Nam Ik Cho, Seoul National University, Korea, Republic of