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BEGIN:VEVENT
DTSTAMP:20260417T190156Z
LOCATION:West Building\, Rooms 301-305
DTSTART;TZID=America/Los_Angeles:20250813T104500
DTEND;TZID=America/Los_Angeles:20250813T105500
UID:siggraph_SIGGRAPH 2025_sess119_papers_716@linklings.com
SUMMARY:3DGS2: Near Second-order Converging 3D Gaussian Splatting
DESCRIPTION:Lei Lan (University of Utah; State Key Lab of CAD and CG, Zhej
 iang University); Tianjia Shao (Zhejiang University); Zixuan Lu and Yu Zha
 ng (University of Utah); Chenfanfu Jiang (UCLA); and Yin Yang (University 
 of Utah)\n\nThis paper introduces a nearly second-order convergent trainin
 g algorithm for 3D Gaussian Splatting that exploits independent kernel att
 ributes and sparse coupling across images. By constructing and solving sma
 ll Newton systems for parameter groups, it achieves about an-order faster 
 training while maintaining or exceeding SGD-based reconstruction quality.\
 n\nInterest Area: Research & Education\n\nRecording: Livestreamed, Not Liv
 estreamed, Recorded, Not Recorded\n\nRegistration Category: Full Conferenc
 e, Virtual Access, Wednesday\n\nSession Chair: Gurprit Singh (Advanced Mic
 ro Devices, Inc. (AMD))\n\n
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