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DTSTAMP:20260817T171530Z
LOCATION:Hall B5 (2)\, B Block\, Level 5
DTSTART;TZID=Asia/Tokyo:20241203T145600
DTEND;TZID=Asia/Tokyo:20241203T150800
UID:siggraphasia_SIGGRAPH Asia 2024_sess107_papers_238@linklings.com
SUMMARY:GS^3: Efficient Relighting with Triple Gaussian Splatting
DESCRIPTION:Zoubin Bi, Yixin Zeng, Chong Zeng, Fan Pei, Xiang Feng, Kun Zh
 ou, and Hongzhi Wu (State Key Laboratory of CAD&CG, Zhejiang University)\n
 \nWe present a spatial and angular Gaussian based representation and a tri
 ple splatting process, for real-time, high-quality novel lighting-and-view
  synthesis from multi-view point-lit input images. To describe complex app
 earance, we employ a Lambertian plus a mixture of angular Gaussians as an 
 effective reflectance function for each spatial Gaussian. To generate self
 -shadow, we splat all spatial Gaussians towards the light source to obtain
  shadow values, which are further refined by a small multi-layer perceptro
 n. To compensate for other effects like global illumination, another netwo
 rk is trained to compute and add a per-spatial-Gaussian RGB tuple. The eff
 ectiveness of our representation is demonstrated on 30 samples with a wide
  variation in geometry (from solid to fluffy) and appearance (from translu
 cent to anisotropic), as well as using different forms of input data, incl
 uding rendered images of synthetic/reconstructed objects, photographs capt
 ured with a handheld camera and a flash, or from a professional lightstage
 . We achieve a training time of 40-70 minutes and a rendering speed of 90 
 fps on a single commodity GPU. Our results compare favorably with state-of
 -the-art techniques in terms of quality/performance.\n\nRegistration Categ
 ory: Full Access, Full Access Supporter\n\nLanguage Format: English Langua
 ge\n\nSession Chair: Hongzhi Wu (Zhejiang University; State Key Laboratory
  of CAD&CG, Zhejiang University)\n\n
URL:https://asia.siggraph.org/2024/program/?id=papers_238&sess=sess107
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