MO3.L11.3
NAR-DIFF: A NOISE-ADAPTIVE REFLECTANCE DIFFUSION MODEL FOR LOW-LIGHT IMAGE ENHANCEMENT
Haiyan Jin, Wenfan Yang, Haonan Su, Yuanlin Zhang, Bin Wang, Xi'an University of Technology, China
Session:
MO3.L11: Computational Imaging 1 Spotlight
Track:
[CI-TEC] Computational imaging methods and models
Location:
Dena'ina: Tikahtnu Ballroom D/E
Presentation Time:
Mon, 15 Sep, 15:40 - 16:00 Anchorage Time (UTC -8)
Session Chair:
Benoît Macq, UCLouvain
Session MO3.L11
MO3.L11.1: QUANTA DIFFUSION
Prateek Chennuri, Purdue University, United States; Dongdong Fu, Dolby Laboratories, United States; Stanley H. Chan, Purdue University, United States
MO3.L11.2: ADAPTIVE HIERARCHICAL FEATURE DIFFERENCE AUTO-ENCODER FOR ROBUST RGB-T OBJECT TRACKING
Mohamed Awad, Concordia University, Canada; Ahmed Elliethy, Military Technical College, Egypt; M. Omair Ahmad, M. N. S. Swamy, Concordia University, Canada
MO3.L11.3: NAR-DIFF: A NOISE-ADAPTIVE REFLECTANCE DIFFUSION MODEL FOR LOW-LIGHT IMAGE ENHANCEMENT
Haiyan Jin, Wenfan Yang, Haonan Su, Yuanlin Zhang, Bin Wang, Xi'an University of Technology, China
Contacts