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DTSTAMP:20250522T212943Z
LOCATION:Mile High 1
DTSTART;TZID=America/Denver:20240729T091000
DTEND;TZID=America/Denver:20240729T092000
UID:siggraph_SIGGRAPH 2024_sess111_papers_337@linklings.com
SUMMARY:BoostMVSNeRFs: Boosting MVS-based NeRFs to Generalizable View Synt
 hesis in Large-scale Scenes
DESCRIPTION:Chih-Hai Su (National Yang Ming Chiao Tung University); Chih-Y
 ao Hu (National Taiwan University); and Shr-Ruei Tsai, Jie-Ying Lee, Chin-
 Yang Lin, and Yu-Lun Liu (National Yang Ming Chiao Tung University)\n\nBoo
 stMVSNeRFs revolutionizes 3D scene visualization by improving the quality 
 of large-scale MVS-based NeRFs. This innovative technique combines multipl
 e cost volumes with 3D visibility scores to enhance novel view synthesis w
 ithout additional training. Compatible with current frameworks, it sets ne
 w 3D reconstruction and visualization standards, offering significant qual
 ity and efficiency improvements.\n\nInterest Area: Research & Education\n\
 nRecording: Livestreamed, Recorded\n\nKeyword: Geometry, Modeling, Renderi
 ng\n\nRegistration Category: Full Conference, Full Conference Supporter, V
 irtual Access, Exhibitor Full Conference, Monday\n\nSession Chair: Lin Gao
  (University of Chinese Academy of Sciences)\n\n
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