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DTSTAMP:20260417T190159Z
LOCATION:West Building\, Rooms 301-305
DTSTART;TZID=America/Los_Angeles:20250811T140000
DTEND;TZID=America/Los_Angeles:20250811T141000
UID:siggraph_SIGGRAPH 2025_sess110_papers_164@linklings.com
SUMMARY:Facial Appearance Capture at Home with Patch-Level Reflectance Pri
 or
DESCRIPTION:Yuxuan Han and Junfeng Lyu (Tsinghua University); Kuan Sheng (
 ShanghaiTech University; Deemos Technology Co., Ltd.); Minghao Que (Tsingh
 ua University); Qixuan Zhang (ShanghaiTech University; Deemos Technology C
 o., Ltd.); Lan Xu (ShanghaiTech University); and Feng Xu (Tsinghua Univers
 ity)\n\nGiven a single co-located smartphone video captured in a dim room 
 as the input, our method can reconstruct high-quality facial assets within
  the distribution modeled by a diffusion prior trained on Light Stage scan
 s, which can be exported to common graphics engines like Blender for photo
 -realistic rendering.\n\nInterest Area: Research & Education\n\nRecording:
  Livestreamed, Not Livestreamed, Recorded, Not Recorded\n\nRegistration Ca
 tegory: Full Conference, Virtual Access, Monday\n\nSession Chair: Ali Mahd
 avi-Amiri (Simon Fraser University, MARZ VFX)\n\n
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