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DTSTAMP:20250110T023302Z
LOCATION:G610\, G Block\, Level 6
DTSTART;TZID=Asia/Tokyo:20241203T130000
DTEND;TZID=Asia/Tokyo:20241203T144500
UID:siggraphasia_SIGGRAPH Asia 2024_sess210@linklings.com
SUMMARY:MCMC: Bridging Rendering, Optimization and Generative AI
DESCRIPTION:Courses\n\nJoin us for the Courses program at SIGGRAPH Asia 20
 24, where attendees from around the globe gather to broaden and deepen the
 ir understanding of the latest advancements in computer graphics and inter
 active techniques. For over 30 years, SIGGRAPH Courses have served as the 
 go-to resource for practitioners, developers, researchers, scientists, eng
 ineers, artists, and students seeking to stay ahead of the curve.\nIn line
  with the theme of “Curious Minds” for SIGGRAPH Asia 2024, our Courses cov
 er a wide range of topics, from innovative ideas and novel paradigms to in
 terdisciplinary studies and emerging research trends. Embrace the opportun
 ity to delve into areas such as big data, machine learning, storytelling, 
 visual psychology, gaming, manufacturing, medicine, and cultural heritage.
 \n\nEach course is meticulously crafted to distill key concepts and ideas 
 into self-contained presentations, ensuring maximum impact and learning fo
 r attendees. Our diverse array of attendees includes industry professional
 s, students, professors, researchers, engineers, producers, and artists, b
 oth local and international. With their varied expectations, we strive to 
 offer outstanding courses that cater to a wide audience, covering fundamen
 tal topics and advanced methodologies alike. Experience the pinnacle of le
 arning and innovation at SIGGRAPH Asia 2024 in Tokyo! Secure your place to
 day and embark on a transformative journey of exploration and discovery.\n
 \nMCMC: Bridging Rendering, Optimization and Generative AI\n\nGenerative a
 rtificial intelligence (AI) has made unprecedented advances in vision lang
 uage models over the past two years. These advances are largely due to dif
 fusion-based generative models, which are very stable and simple to train.
   These diffusion models are tasked to learn the underlying unknow...\n\n\
 nGurprit Singh and Gurprit Singh (Max Planck Institute for Informatics) an
 d Wenzel Jakob (EPFL)\n\nRegistration Category: Full Access, Full Access S
 upporter\n\nLanguage Format: English Language
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