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DTSTAMP:20250522T212740Z
LOCATION:Bluebird Ballroom
DTSTART;TZID=America/Denver:20240728T180000
DTEND;TZID=America/Denver:20240728T204500
UID:siggraph_SIGGRAPH 2024_sess211_papers_715@linklings.com
SUMMARY:Learning Images Across Scales Using Adversarial Training
DESCRIPTION:Krzysztof Wolski, Adarsh Djeacoumar, Alireza Javanmardi, Hans-
 Peter Seidel, and Christian Theobalt (Max Planck Institute for Informatics
 ); Guillaume Cordonnier (INRIA, Université Côte d'Azur); Karol Myszkowski 
 (Max Planck Institute for Informatics); George Drettakis (INRIA, Universit
 é Côte d'Azur); Xingang Pan (Nanyang Technological University); and Thomas
  Leimkühler (Max Planck Institute for Informatics)\n\nWe propose a novel p
 aradigm to learn a scale space from an unstructured image collection using
  adversarial training. Enabling zoom-in factors of 256x, our approach can 
 be used to train a multiscale generative model and for reconstructions of 
 scale spaces from unstructured patches.\n\nInterest Area: Arts & Design, P
 roduction & Animation, Research & Education\n\nRecording: Livestreamed, Re
 corded\n\nRegistration Category: Full Conference, Full Conference Supporte
 r, Virtual Access, Experience, Exhibitor Full Conference, Exhibitor Experi
 ence, Sunday\n\n
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