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BEGIN:VEVENT
DTSTAMP:20260417T190156Z
LOCATION:West Building\, Rooms 118-120
DTSTART;TZID=America/Los_Angeles:20250812T114500
DTEND;TZID=America/Los_Angeles:20250812T115500
UID:siggraph_SIGGRAPH 2025_sess146_papers_411@linklings.com
SUMMARY:Generative Video Matting
DESCRIPTION:Yongtao Ge (The University of Adelaide, Zhejiang University); 
 Kangyang Xie, Guangkai Xu, and Mingyu Liu (Zhejiang University); Li Ke, Lo
 ngtao Huang, and Hui Xue (Alibaba Group); Hao Chen (Zhejiang University); 
 and Chunhua Shen (Zhejiang University of Technology, Zhejiang University)\
 n\nLimited high-quality ground-truth data hinders traditional video mattin
 g's real-world application. This work tackles this by advocating for large
 -scale training with diverse synthetic segmentation and matting data. A no
 vel generative pipeline is also introduced to predict temporally consisten
 t alpha masks with fine-grained details.\n\nInterest Area: Research & Educ
 ation\n\nRecording: Livestreamed, Not Livestreamed, Recorded, Not Recorded
 \n\nRegistration Category: Full Conference, Virtual Access, Tuesday\n\nSes
 sion Chair: Li-Yi Wei (Adobe Research)\n\n
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