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DTSTART;TZID=America/Los_Angeles:20260720T143000
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UID:siggraph_SIGGRAPH 2026_sess156_papers_551@linklings.com
SUMMARY:HL-OutPaint: Coarse-to-Fine Video Outpainting for High-Resolution 
 Long-Range Videos
DESCRIPTION:Jeongeun Park, Janghyeok Han, and Geonung Kim (POSTECH); Hyun-
 Seung Lee, Kyuha Choi, and Youngseok Han (Visual Display Business, Samsung
  Electronics); and Sunghyun Cho (POSTECH)\n\nWe introduce HL-OutPaint, a c
 oarse-to-fine framework for high-resolution long-range video outpainting. 
 HL-OutPaint incorporates a novel global-local frame swapping mechanism tha
 t enables both long-term and short-term temporal consistency. Experimental
  results show that our approach produces spatially and temporally coherent
  results across diverse real-world high-resolution long-range videos.\n\nI
 nterest Area: Research & Education\n\nKeyword: Artificial Intelligence/Mac
 hine Learning, Generative AI, Rendering\n\nRegistration Category: Full Con
 ference Supporter, Full Conference\n\nSession Chair: Ayush Tewari (Cambrid
 ge University)\n\n
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