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TZID:Asia/Hong_Kong
X-LIC-LOCATION:Asia/Hong_Kong
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TZOFFSETFROM:+0800
TZOFFSETTO:+0800
TZNAME:HKT
DTSTART:19911015T033000
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BEGIN:VEVENT
DTSTAMP:20251218T030656Z
LOCATION:Meeting Room S426+S427\, Level 4
DTSTART;TZID=Asia/Hong_Kong:20251218T134200
DTEND;TZID=Asia/Hong_Kong:20251218T135300
UID:siggraphasia_SIGGRAPH Asia 2025_sess156_papers_1679@linklings.com
SUMMARY:Spectral-GS: Taming 3D Gaussian Splatting with Spectral Entropy
DESCRIPTION:Letian Huang, Jie Guo, Jialin Dan, Ruoyu Fu, Yuanqi Li, and Ya
 nwen Guo (State Key Lab for Novel Software Technology, Nanjing University)
 \n\nRecently, 3D Gaussian Splatting (3DGS) has achieved impressive results
  in novel view synthesis, demonstrating high fidelity and efficiency. Howe
 ver, it easily exhibits needle-like artifacts, especially when increasing 
 the sampling rate. Mip-Splatting tries to remove these artifacts with a 3D
  smoothing filter for frequency constraints and a 2D Mip filter for approx
 imated supersampling. Unfortunately, it tends to produce over-blurred resu
 lts, and sometimes needle-like Gaussians still persist. Our spectral analy
 sis of the covariance matrix during optimization and densification reveals
  that current 3DGS lacks shape awareness, relying instead on spectral radi
 us and view positional gradients to determine splitting. As a result, need
 le-like Gaussians with small positional gradients and low spectral entropy
  fail to split and overfit high-frequency details. Furthermore, both the f
 ilters used in 3DGS and Mip-Splatting reduce \n the spectral entropy and i
 ncrease the condition number during zooming in to synthesize novel view, c
 ausing view inconsistencies and more pronounced artifacts. Our Spectral-GS
 , based on spectral analysis, introduces 3D shape-aware splitting and 2D v
 iew-consistent filtering strategies, effectively addressing these issues, 
 enhancing 3DGS's capability to represent high-frequency details without no
 ticeable artifacts, and achieving high-quality realistic rendering.\n\nReg
 istration Category: Full Access, Full Access Supporter\n\nSession Chair: M
 anyi Li (Shandong University)\n\n
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