BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
X-LIC-LOCATION:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260417T190114Z
LOCATION:West Building\, Rooms 220-222
DTSTART;TZID=America/Los_Angeles:20250814T154500
DTEND;TZID=America/Los_Angeles:20250814T171500
UID:siggraph_SIGGRAPH 2025_sess133@linklings.com
SUMMARY:More Than it Looks Like
DESCRIPTION:Uncertainty for SVBRDF Acquisition using Frequency Analysis\n\
 nWe quantify uncertainty for SVBRDF acquisition from multi-view captures u
 sing entropy. The otherwise heavy computation is accelerated in the freque
 ncy domain, yielding a practical, efficient method. We apply uncertainty t
 o improve SVBRDF capture by guiding camera placement, inpainting uncertain
  regi...\n\n\nRuben Wiersma (ETH Zürich); Julien Philip (Netflix Eyeline S
 tudios); Miloš Hašan, Krishna Mullia, and Fujun Luan (Adobe Research); Elm
 ar Eisemann (Delft University of Technology); and Valentin Deschaintre (Ad
 obe Research)\n---------------------\nSynchronized tracing of primitive-ba
 sed implicit volumes\n\nThe paper presents a tile-based rendering pipeline
  for modeling with implicit volumes, using blobtrees and smooth CSG operat
 ors. It requires no preprocessing when updating primitives and ensures eff
 icient ray processing with sphere tracing. The method uses a low-resolutio
 n A-buffer and bottom-up tre...\n\n\nCédric Zanni (Université de Lorraine 
 CNRS, Inria, LORIA) and Cédric Zanni\n---------------------\nPaRas: A Rast
 erizer for Large-Scale Parametric Surfaces\n\nHigher-order surfaces enable
  compact, smooth geometry but require efficient rendering. We introduce Pa
 Ras, a GPU-based rasterizer that directly renders parametric surfaces, avo
 iding costly tessellation. It integrates seamlessly into existing pipeline
 s, outperforming traditional methods for quartic t...\n\n\nKechun Wang and
  Renjie Chen (University of Science and Technology of China)\n------------
 ---------\nFeeling Blue or Seeing Red? Investigating the effect of light c
 olor, shadow and realism on the perception of emotion of real and virtual 
 humans\n\nThis study explores how light color influences the perception of
  emotion of virtual characters. By analyzing various lighting conditions, 
 including red and blue hues, we reveal how light affects emotion intensity
 , recognition, and genuineness. Findings show that lighting, realism, and 
 shadows are ke...\n\n\nRachel McDonnell and Bharat Vyas (Trinity College D
 ublin), Uros Sikimic (Epic Games), and Pisut Wisessing (CMKL University)\n
 ---------------------\nMore Than it Looks Like - Interactive Discussion\n\
 nAfter the summary presentations, attendees will participate in an interac
 tive discussion. Outside the room will be a series of poster boards for au
 thors to gather around with the audience. Authors are invited to bring any
  material related to their paper that could instigate further conversation
  such...\n\n---------------------\nAppearance-aware Multi-view SVBRDF Reco
 nstruction via Deep Reinforcement Learning\n\nThis paper introduces an app
 earance-aware adaptive sampling method using deep reinforcement learning t
 o optimize the reconstruction of spatially-varying BRDFs from minimal imag
 es. By modeling the sampling as a sequential decision-making problem, the 
 method identifies the next best view-lighting pair...\n\n\nPengfei Zhu, Ji
 e Guo, Yifan Liu, Qi Sun, Yanxiang Wang, and Keheng Xu (Nanjing University
 ); Ligang Liu (University of Science and Technology of China); and Yanwen 
 Guo (Nanjing University)\n---------------------\nStreaming-Aware Neural Mo
 nte Carlo Rendering Framework with Unified Denoising-Compression and Clien
 t Collaboration\n\nTo reduce the high rendering costs and transmission ban
 dwidth requirements of path tracing-based cloud rendering, we propose a no
 vel streaming-aware rendering framework that is able to learn a joint opti
 mal model integrating two path-tracing acceleration (adaptive sampling and
  denoising) and video c...\n\n\nHangming Fan, Yuchi Huo, Chuankun Zheng, a
 nd Chonghao Hu (State Key Laboratory of CAD & CG, Zhejiang University); Ya
 zhen Yuan (Game Engine Department, CROS, Tencent, China); and Rui Wang (St
 ate Key Laboratory of CAD & CG, Zhejiang University)\n\nInterest Area: Res
 earch & Education\n\nRecording: Livestreamed, Not Livestreamed, Recorded, 
 Not Recorded\n\nRegistration Category: Full Conference, Virtual Access, Th
 ursday\n\nSession Chair: Dario Seyb (Valve Software)
END:VEVENT
END:VCALENDAR