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BEGIN:VEVENT
DTSTAMP:20260805T205604Z
LOCATION:Room 408 A
DTSTART;TZID=America/Los_Angeles:20260721T093000
DTEND;TZID=America/Los_Angeles:20260721T094000
UID:siggraph_SIGGRAPH 2026_sess135_papers_737@linklings.com
SUMMARY:DiffSurFlow: Efficient and Robust Differentiable Fluid Optimizatio
 n via Surrogate Strategy on Flow Map
DESCRIPTION:Yuhao Quan, Hui Wang, Weile Lian, Zhi Wang, and Xubo Yang (Sha
 nghai Jiao Tong University)\n\nWe present DiffSurFlow, an efficient and ro
 bust framework for long-horizon and vortex-rich fluid optimization. Powere
 d by a physics-informed surrogate gradient strategy that exploits flow map
  "gradient highways" while pruning computationally intensive high-order gr
 adient passes, it achieves significant speedups and memory reductions whil
 e maintaining near-identical gradient accuracy.\n\nInterest Area: Research
  & Education\n\nKeyword: Animation, Artificial Intelligence/Machine Learni
 ng, Real-Time, Rendering, Scientific Visualization, Simulation\n\nRegistra
 tion Category: Full Conference Supporter, Full Conference\n\nSession Chair
 : Kui Wu (LIGHTSPEED)\n\n
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