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DTSTAMP:20260417T190158Z
LOCATION:West Building\, Rooms 118-120
DTSTART;TZID=America/Los_Angeles:20250814T094000
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UID:siggraph_SIGGRAPH 2025_sess157_papers_787@linklings.com
SUMMARY:DAM-VSR: Disentanglement of Appearance and Motion for Video Super-
 Resolution
DESCRIPTION:Zhe Kong (Sun Yat-sen University, Meituan); Le Li (Tianjin Uni
 versity); Yong Zhang and Feng Gao (Meituan); Shaoshu Yang (School of Artif
 icial Intelligence, University of Chinese Academy of Sciences); Tao Wang (
 Nanjing University); Kaihao Zhang (Harbin Institute of Technology); Zhuoli
 ang Kang and Xiaoming Wei (Meituan); Guanying Chen (Sun Yat-sen University
 ); and Wenhan Luo (The Hong Kong University of Science and Technology)\n\n
 In this work, we propose DAM-VSR, an appearance and motion disentanglement
  framework for video super-resolution. Appearance enhancement is achieved 
 through reference image super-resolution, while motion control is achieved
  through video ControlNet. Additionally, we propose a motion-aligned bidir
 ectional sampling strategy to support the generation of long videos.\n\nIn
 terest Area: Research & Education\n\nRecording: Livestreamed, Not Livestre
 amed, Recorded, Not Recorded\n\nRegistration Category: Full Conference, Vi
 rtual Access, Thursday\n\nSession Chair: Karol Myszkowski (Max Planck Inst
 itute for Informatics)\n\n
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