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DTSTAMP:20260114T163654Z
LOCATION:Meeting Room C4.11\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231215T120500
DTEND;TZID=Australia/Melbourne:20231215T121500
UID:siggraphasia_SIGGRAPH Asia 2023_sess136_papers_602@linklings.com
SUMMARY:Efficient Graphics Representation with Differentiable Indirection
DESCRIPTION:Sayantan Datta (McGill University, Meta Reality Labs); Carl Ma
 rshall (Meta); Derek Nowrouzezahrai (McGill University, Meta); and Zhao Do
 ng and Zhengqin Li (Meta)\n\nWe introduce differentiable indirection -- a 
 novel learned primitive that employs differentiable multi-scale lookup tab
 les as an effective substitute for traditional compute and data operations
  across the graphics pipeline. We demonstrate its flexibility on a number 
 of graphics tasks, i.e., geometric and image representation, texture mappi
 ng, shading, and radiance field representation. In all cases, differentiab
 le indirection seamlessly integrates into existing architectures, trains r
 apidly, and yields both versatile and efficient results.\n\nRegistration C
 ategory: Full Access\n\nSession Chair: Bo Ren (TMCC, College of Computer S
 cience, Nankai University)\n\n
URL:https://asia.siggraph.org/2023/full-program?id=papers_602&sess=sess136
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