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DTSTAMP:20260417T190156Z
LOCATION:West Building\, Rooms 211-214
DTSTART;TZID=America/Los_Angeles:20250813T094000
DTEND;TZID=America/Los_Angeles:20250813T095000
UID:siggraph_SIGGRAPH 2025_sess128_papers_987@linklings.com
SUMMARY:CMD: Controllable Multiview Diffusion for 3D Editing and Progressi
 ve Generation
DESCRIPTION:Peng Li (Hong Kong University of Science and Technology), Suiz
 hi Ma (Johns Hopkins University), Jialiang Chen and Yuan Liu (Hong Kong Un
 iversity of Science and Technology), Congyi Zhang (Univeristy of British C
 olumbia), Wei Xue and Wenhan Luo (Hong Kong University of Science and Tech
 nology), Alla Sheffer (Univeristy of British Columbia), Wenping Wang (Texa
 s A&M University), and Yike Guo (Hong Kong University of Science and Techn
 ology)\n\nCMD revolutionizes 3D generation by enabling flexible local edit
 ing of 3D models from a single rendering, as well as progressive, interact
 ive creation of complex 3D scenes. At its core, CMD leverages a conditiona
 l multiview diffusion model to seamlessly modify/add new components—enhanc
 ing control, quality, and efficiency in 3D content creation.\n\nInterest A
 rea: Research & Education\n\nRecording: Livestreamed, Not Livestreamed, Re
 corded, Not Recorded\n\nRegistration Category: Full Conference, Virtual Ac
 cess, Wednesday\n\nSession Chair: Yael Vinker (Massachusetts Institute of 
 Technology (MIT), MIT CSAIL)\n\n
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