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DTSTAMP:20260417T190158Z
LOCATION:West Building\, Rooms 220-222
DTSTART;TZID=America/Los_Angeles:20250814T162500
DTEND;TZID=America/Los_Angeles:20250814T163500
UID:siggraph_SIGGRAPH 2025_sess133_papers_686@linklings.com
SUMMARY:Streaming-Aware Neural Monte Carlo Rendering Framework with Unifie
 d Denoising-Compression and Client Collaboration
DESCRIPTION:Hangming Fan, Yuchi Huo, Chuankun Zheng, and Chonghao Hu (Stat
 e Key Laboratory of CAD & CG, Zhejiang University); Yazhen Yuan (Game Engi
 ne Department, CROS, Tencent, China); and Rui Wang (State Key Laboratory o
 f CAD & CG, Zhejiang University)\n\nTo reduce the high rendering costs and
  transmission bandwidth requirements of path tracing-based cloud rendering
 , we propose a novel streaming-aware rendering framework that is able to l
 earn a joint optimal model integrating two path-tracing acceleration (adap
 tive sampling and denoising) and video compression technique with client s
 ide G-buffer collaboration.\n\nInterest Area: Research & Education\n\nReco
 rding: Livestreamed, Not Livestreamed, Recorded, Not Recorded\n\nRegistrat
 ion Category: Full Conference, Virtual Access, Thursday\n\nSession Chair: 
 Dario Seyb (Valve Software)\n\n
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