IVMSP-L14.2
DISTRICACHE: DISTRIBUTED PARALLELISM FOR ACCELERATING DIFFUSION MODELS
Huaqin Luo, Zijian Zhou, Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), China; Laizhong Cui, College of Computer Science and Software Engineering, Shenzhen University；Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), China; Zhongxing Ming, Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), China
Session:
IVMSP-L14: Diffusion Based Machine Learning for Image and Video Processing Oral
Track:
Image, Video and Multidimensional Signal Processing [IV]
Location:
Room 118+119
Presentation Time:
Fri, 8 May, 09:20 - 09:40
Session IVMSP-L14
IVMSP-L14.1: Stable Generative Diffusion: Depth-Modality Aware and Adaptive Fusion for Camouflaged Object Detection
Huili Qu, Yue He, Guiduo Duan, University of Electronic Science and Technology of China, China; Tianxi Huang, Chengdu Textile College, China; Botian Lan, University of Electronic Science and Technology of China, China
IVMSP-L14.2: DISTRICACHE: DISTRIBUTED PARALLELISM FOR ACCELERATING DIFFUSION MODELS
Huaqin Luo, Zijian Zhou, Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), China; Laizhong Cui, College of Computer Science and Software Engineering, Shenzhen University；Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), China; Zhongxing Ming, Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), China
IVMSP-L14.3: CONTROLLABLE LOCALIZED FACE ANONYMIZATION VIA DIFFUSION INPAINTING
Ali Salar, Qing Liu, Guoying Zhao, University of Oulu, Finland
IVMSP-L14.4: CONDITIONAL DIFFUSION INVERSION LEARNING FOR MULTI-VIEW STEREO
Weibin Qiu, Suping Wu, Xiang Zhang, Jie Yang, Hao Xu, Ningxia University, China
IVMSP-L14.5: FEDD-NET: A FREQUENCY DIAGONAL FEATURE ENHANCED DUAL-BRANCH DIFFUSION NETWORK FOR LOW-LIGHT IMAGE ENHANCEMENT
Wengai Li, Zhaolin Xiao, Haonan Su, Xi’an University of Technology, China; Qifeng Guo, Shenzhen Shenzhi Weilai Co., Ltd, China
IVMSP-L14.6: SAGE: SEMANTIC-AWARE SHARED SAMPLING FOR EFFICIENT DIFFUSION
Haoran Zhao, Tong Bai, Lei Huang, Xiaoyu Liang, Beihang University, China
Contacts