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TZID:Asia/Seoul
X-LIC-LOCATION:Asia/Seoul
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DTSTART:18871231T000000
DTSTART:19881009T020000
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BEGIN:VEVENT
DTSTAMP:20230103T035347Z
LOCATION:Room 325-AB\, Level 3\, West Wing
DTSTART;TZID=Asia/Seoul:20221207T110000
DTEND;TZID=Asia/Seoul:20221207T123000
UID:siggraphasia_SIGGRAPH Asia 2022_sess161@linklings.com
SUMMARY:Radiance Fields, Bases, and Probes
DESCRIPTION:Technical Communications, Technical Papers\n\nThe presentation
 s will be followed by a 30-min Interactive Discussion Session at Room 325-
 CD.\n\nThe Technical Papers program is the premier international forum for
  disseminating new scholarly work in computer graphics and interactive tec
 hniques. Technical Papers are published as a special issue of ACM Transact
 ions on Graphics. In addition to papers selected by the SIGGRAPH Asia 2022
  Technical Papers Jury, the conference presents papers that have been publ
 ished in ACM Transactions on Graphics during the past year. Accepted paper
 s adhere to the highest scientific standards.\n\nThe Technical Communicati
 ons program is a premier forum for presenting the latest developments and 
 research still in progress. Leading international experts in academia and 
 industry present work that showcase actual implementations of research ide
 as, works at the crossroads of computer graphics with computer vision, mac
 hine learning, HCI, VR, CAD, visualization, and many others\n\nSampling Ne
 ural Radiance Fields for Refractive Objects\n\nPan, Su, Hsiao, Yen, Chu\n\
 nWe present a NeRF-based framework that synthesizes the refraction in nove
 l views. The results show that tracking curved paths, sampling techniques,
  and a boundary regularizer can improve refraction.\n\n-------------------
 --\nNeural Point Catacaustics for Novel-View Synthesis of Reflections\n\nK
 opanas, Leimkühler, Rainer, Jambon, Drettakis\n\nView-dependent effects su
 ch as reflections pose a substantial challenge for image-based and neural 
 rendering algorithms. Above all, curved reflectors are particularly hard, 
 as they lead to highly non-linear reflection flows as the camera moves. We
  introduce Neural Point Catacaustics, a new point-bas...\n\n--------------
 -------\nFast Dynamic Radiance Fields with Time-Aware Neural Voxels\n\nFan
 g, Yi, Wang, Xie, Zhang...\n\nNeural radiance fields (NeRF) have shown gre
 at success in modeling 3D scenes and synthesizing novel-view images. Howev
 er, most previous NeRF methods take much time to optimize one single scene
 . Explicit data structures, e.g. voxel features, show great potential to a
 ccelerate the training process. Ho...\n\n---------------------\nFDNeRF: Fe
 w-shot Dynamic Neural Radiance Fields for Face Reconstruction and Expressi
 on Editing\n\nZHANG, LI, WAN, WANG, LIAO\n\nWe propose a Few-shot Dynamic 
 Neural Radiance Field (FDNeRF), the first NeRF-based method capable of rec
 onstruction and expression editing of 3D faces based on a small number of 
 dynamic images. Unlike existing dynamic NeRFs that require dense images as
  input and can only be modeled for a single iden...\n\n-------------------
 --\nEfficient Light Probes for Real-time Global Illumination\n\nGuo, Zong,
  Song, Fu, Tao...\n\nReproducing physically-based global illumination (GI)
  effects has been a long-standing demand for many real-time graphical appl
 ications. In pursuit of this goal, many recent engines resort to some form
  of light probes baked in a precomputation stage. Unfortunately, the GI ef
 fects stemming from the p...\n\n---------------------\nNeuLighting: Neural
  Lighting for Free Viewpoint Outdoor Scene Relighting with Unconstrained P
 hoto Collections\n\nLi, Guo, Fei, Li, Guo\n\nWe propose NeuLighting, a new
  framework for free viewpoint outdoor scene relighting from a sparse set o
 f unconstrained in-the-wild photo collections. Our framework represents al
 l the scene components as continuous functions parameterized by MLPs that 
 take a 3D location and the lighting condition as ...\n\n------------------
 ---\nLightweight Neural Basis Functions for All-Frequency Shading\n\nXu, Z
 eng, Wu, Wang, Yan\n\nBasis functions provide both the abilities for compa
 ct representation and the properties for efficient computation. Therefore,
  they are pervasively used in rendering to perform all-frequency shading. 
 However, common basis functions, including spherical harmonics (SH), wavel
 ets, and spherical Gaussia...\n\n\nRegistration Category: FULL ACCESS, ON-
 DEMAND ACCESS\n\nLanguage: ENGLISH\n\nFormat: IN-PERSON, ON-DEMAND
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