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DTSTAMP:20260817T171530Z
LOCATION:Hall B5 (2)\, B Block\, Level 5
DTSTART;TZID=Asia/Tokyo:20241204T104500
DTEND;TZID=Asia/Tokyo:20241204T115500
UID:siggraphasia_SIGGRAPH Asia 2024_sess113@linklings.com
SUMMARY:Look at it Differently: Novel View Synthesis
DESCRIPTION:Each Paper gives a 10 minute presentation.\n\nQuark: Real-time
 , High-resolution, and General Neural View Synthesis\n\nWe present a novel
  neural algorithm for performing high-quality, high-resolution, real-time 
 novel view synthesis. From a sparse set of input RGB images or videos stre
 ams, our network both reconstructs the 3D scene and renders novel views at
  1080p resolution at 30fps on an NVIDIA A100. Our feed-forwa...\n\n\nJohn 
 Flynn, Michael Broxton, Lukas Murmann, Lucy Chai, Matthew DuVall, Clément 
 Godard, Kathryn Heal, Srinivas Kaza, Stephen Lombardi, Xuan Luo, Supreeth 
 Achar, Kira Prabhu, Tiancheng Sun, Lynn Tsai, and Ryan Overbeck (Google)\n
 ---------------------\nPano2Room: Novel View Synthesis from a Single Indoo
 r Panorama\n\nRecent single-view 3D AIGC methods have made significant adv
 ancements by leveraging knowledge distilled from extensive 3D object datas
 ets. However, challenges persist in the synthesis of 3D scenes from a sing
 le view, primarily due to the complexity of real-world environments and th
 e limited availabi...\n\n\nGuo Pu, Yiming Zhao, and Zhouhui Lian (Wangxuan
  Institute of Computer Technology, Peking University)\n-------------------
 --\nCafca: High-quality Novel View Synthesis of Expressive Faces from Casu
 al Few-shot Captures\n\nVolumetric modeling and neural radiance field repr
 esentations have revolutionized 3D face capture and photorealistic novel v
 iew synthesis. However, these methods often require hundreds of multi-view
  input images and are thus inapplicable to cases with less than a handful 
 of inputs.\nWe present a nove...\n\n\nMarcel C. Buehler and Gengyan Li (ET
 H Zürich, Google VR); Erroll Wood, Leonhard Helminger, Xu Chen, Tanmay Sha
 h, Daoye Wang, Stephan Garbin, and Sergio Orts Escolano (Google VR); Otmar
  Hilliges (ETH Zürich); and Dmitry Lagun, Jérémy Riviere, Paulo Gotardo, T
 habo Beeler, Abhimitra Meka, and Kripasindhu Sarkar (Google VR)\n---------
 ------------\nDynamic Gaussian Marbles for Novel View Synthesis of Casual 
 Monocular Videos\n\nGaussian splatting has become a popular representation
  for novel-view synthesis, exhibiting clear strengths in efficiency, photo
 metric quality, and compositional edibility. Following its success, many w
 orks have extended Gaussians to 4D, showing that dynamic Gaussians maintai
 n these benefits while a...\n\n\nColton Stearns, Adam Harley, and Mikaela 
 Uy (Stanford University); Florian Dubost and Federico Tombari (Google Rese
 arch); and Gordon Wetzstein and Leonidas Guibas (Stanford University)\n---
 ------------------\nNeural Light Spheres for Implicit Image Stitching and 
 View Synthesis\n\nChallenging to capture, and challenging to display on a 
 cellphone screen, the panorama paradoxically remains both a staple and und
 erused feature of modern mobile camera applications. In this work we addre
 ss both of these challenges with a spherical neural light field model for 
 implicit panoramic ima...\n\n\nIlya Chugunov and Amogh Joshi (Princeton Un
 iversity), Kiran Murthy and Francois Bleibel (Google Inc.), and Felix Heid
 e (Princeton University)\n---------------------\nReN Human: Learning Relig
 htable Neural Implicit Surfaces for Animatable Human Rendering\n\nThis wor
 k proposes ReN Human, a framework that utilizes sparse or even monocular i
 nput videos to reconstruct a 3D human model represented as a deformable im
 plicit neural surface. It decomposes geometry and material, resulting in a
  relightable, animatable human model that can be rendered with novel v...\
 n\n\nRengan Xie (State Key Laboratory of CAD&CG, Zhejiang University); Kai
  Huang (Institute of Computing Technology, Chinese Academy of Sciences; Zh
 ejiang Lab); In-Young Cho (KRAFTON); Sen Yang (Zhejiang Lab); Wei Chen, Hu
 jun Bao, and Wenting Zheng (State Key Laboratory of CAD&CG, Zhejiang Unive
 rsity); Rong Li (Zhejiang University); and Yuchi Huo (State Key Laboratory
  of CAD&CG, Zhejiang University; Zhejiang Lab)\n\nRegistration Category: F
 ull Access, Full Access Supporter\n\nLanguage Format: English Language\n\n
 Session Chair: Forrester Cole (Google)
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