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DTSTAMP:20260805T205606Z
LOCATION:Room 406 AB
DTSTART;TZID=America/Los_Angeles:20260722T090000
DTEND;TZID=America/Los_Angeles:20260722T121500
UID:siggraph_SIGGRAPH 2026_sess216_twork_103@linklings.com
SUMMARY:AI for Creative Visual Content Generation, Editing and Understandi
 ng
DESCRIPTION:Songlin Yang (The Hong Kong University of Science and Technolo
 gy), Gaurav Parmar (Carnegie Mellon University), Ozgur Kara (University of
  Illinois Urbana-Champaign), Jiaju Ma and Lvmin Zhang (Stanford University
 ), Or Patashnik (Tel Aviv University), Fabian Caba Heilbron (Adobe Researc
 h), Jun-Yan Zhu (Carnegie Mellon University), Daniel Cohen-Or (Tel Aviv Un
 iversity), Maneesh Agrawala (Stanford University), Anyi Rao (The Hong Kong
  University of Science and Technology), Richard Chuang (d1n0), Bryan Russe
 ll (Adobe Research), Tina Wang (Eonix AI), and Naomi Ken Korem (Lightricks
 )\n\nThe 10th installment of the CVEU workshop series marks a transformati
 ve shift toward the Next-Generation Creator-Machine Co-Learning Paradigm. 
 Organized by leading academic researchers and the technical architects beh
 ind current video generation models, this workshop explores a future where
  generative AI evolves from a passive tool into a collaborative partner th
 at internalizes both physical laws and artistic intent. Our primary object
 ive is to bridge the "semantic gap" between raw visual tokens and the soph
 isticated language of cinema, focusing on how World Models can balance phy
 sical factuality with creative license. We will investigate how machine le
 arning translate abstract user intent into precise model behavior, effecti
 vely reconstructing traditional production pipelines for professional film
 makers and artists alike. Attendees can expect a high-energy program featu
 ring technical demos of AI-native creative workflows, provocative keynote 
 sessions, and an open "Research-meets-Art" roundtable designed to spark di
 alogue between model builders and visual storytellers. This forum offers a
  unique opportunity to engage directly with the creators of the world’s mo
 st advanced visual AI systems to define the next era of human-machine syne
 rgy in the digital arts.\n\nInterest Area: Arts & Design, Gaming & Interac
 tive, New Technologies, Production & Animation, Research & Education\n\nKe
 yword: Art, Artificial Intelligence/Machine Learning, Computer Vision, Gen
 erative AI, Image Processing\n\nRegistration Category: Full Conference Sup
 porter, Full Conference\n\n
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