TU2.L4.6
A PRINCIPLED DIFFUSION POSTERIOR SAMPLING FOR INVERSE PROBLEM WITH MIXED POISSON-GAUSSIAN NOISE
Ji Li, Capital Normal University, China; Chao Wang, University of Kansas Medical Center, United States
Session:
TU2.L4: Image and Video Processing Techniques 2 Lecture
Track:
[IV-TEC] Image and video processing techniques
Location:
Room 2
Presentation Time:
Tue, 16 Sep, 11:15 - 11:30 Anchorage Time (UTC -8)
Session Chair:
Patrick Le Callet, Nantes Université
Presentation
Discussion
Resources
No resources available.
Session TU2.L4
TU2.L4.1: DIVERSITY-DRIVEN GENERATIVE DATASET DISTILLATION BASED ON DIFFUSION MODEL WITH SELF-ADAPTIVE MEMORY
Mingzhuo Li, Guang Li, Hokkaido University, Japan; Jiafeng Mao, The University of Tokyo, Japan; Takahiro Ogawa, Miki Haseyama, Hokkaido University, Japan
TU2.L4.2: DUAL STREAM NETWORKS FOR 3D HUMAN POSE AND SHAPE ESTIMATION
Ioannis Pastaltzidis, Nikolaos Dimitriou, Stelios Krinidis, Dimitrios Tzovaras, Centre for Research and Technology Hellas, Greece
TU2.L4.3: WaveE2VID: FREQUENCY-AWARE EVENT-BASED VIDEO RECONSTRUCTION
Ramna Maqsood, Paulo Nunes, Caroline Conti, Luís Ducla Soares, Instituto de Telecomunicações, Instituto Universitário de Lisboa (ISCTE-IUL) Lisbon, Portugal, Portugal
TU2.L4.4: DIVIDE-AND-SUMMARIZE: ENHANCING DEEP NEURAL VIDEO SUMMARIZATION
Evangelos Charalampakis, Christos Papaioannidis, Ioannis Pitas, Aristotle University of Thessaloniki, Greece
TU2.L4.5: ConvFuse: A Progressive ConvFormer Network for Context-Aware Multisensor Image Fusion
Hafiz Tayyab Mustafa, Zhejiang Normal University, China; Hamza Mustafa, University of Cassino and Southern Lazio, Italy; Ik Hyun Lee, Tech University of Korea, Korea (South); Zhonglong Zheng, Zhejiang Normal University, China
TU2.L4.6: A PRINCIPLED DIFFUSION POSTERIOR SAMPLING FOR INVERSE PROBLEM WITH MIXED POISSON-GAUSSIAN NOISE
Ji Li, Capital Normal University, China; Chao Wang, University of Kansas Medical Center, United States
Contacts