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DTSTART:19721003T020000
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DTSTAMP:20240214T070310Z
LOCATION:Meeting Room C4.9+C4.10\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231212T170000
DTEND;TZID=Australia/Melbourne:20231212T175000
UID:siggraphasia_SIGGRAPH Asia 2023_sess162@linklings.com
SUMMARY:View Synthesis
DESCRIPTION:Technical Papers\n\nSinMPI: Novel View Synthesis from a Single
  Image with Expanded Multiplane Images\n\nSingle-image novel view synthesi
 s is a challenging and ongoing problem that aims to generate an infinite n
 umber of consistent views from a single input image. Although significant 
 efforts have been made to advance the quality of generated novel views, le
 ss attention has been paid to the expansion of...\n\n\nGuo Pu, Peng-Shuai 
 Wang, and Zhouhui Lian (Wangxuan Institute of Computer Technology, Peking 
 University)\n---------------------\nVMesh: Hybrid Volume-Mesh Representati
 on for Efficient View Synthesis\n\nWith the emergence of neural radiance f
 ields (NeRFs), view synthesis quality has reached an unprecedented level. 
 Compared to traditional mesh-based assets, this volumetric representation 
 is more powerful in expressing scene geometry but inevitably suffers from 
 high rendering costs and can hardly be ...\n\n\nYuan-Chen Guo (Tsinghua Un
 iversity, Tencent); Yan-Pei Cao (Tencent); Chen Wang (Tsinghua University)
 ; Yu He (Chinese Academy of Sciences); Ying Shan (Tencent); and Song-Hai Z
 hang (Tsinghua University)\n---------------------\nHigh-Fidelity and Real-
 Time Novel View Synthesis for Dynamic Scenes\n\nThis paper aims to tackle 
 the challenge of dynamic view synthesis from multi-view videos. The key ob
 servation is that while previous grid-based methods offer consistent rende
 ring, they fall short in capturing appearance details on a complex dynamic
  scene, a domain where multi-view image-based method...\n\n\nHaotong Lin (
 State Key Laboratory of CAD & CG, Zhejiang University); Sida Peng (Zhejian
 g University); and Zhen Xu, Tao Xie, Xingyi He, Hujun Bao, and Xiaowei Zho
 u (State Key Laboratory of CAD & CG, Zhejiang University)\n---------------
 ------\nInovis: Instant Novel-View Synthesis\n\nNovel-view synthesis is an
  ill-posed problem in that it requires inference of previously unseen info
 rmation. Recently, reviving the traditional field of image-based rendering
 , neural methods proved particularly suitable for this interpolation/extra
 polation task; however, they often require a-priori ...\n\n\nMathias Harre
 r and Linus Franke (Friedrich-Alexander-Universität Erlangen-Nürnberg); La
 ura Fink (Friedrich-Alexander-Universität Erlangen-Nürnberg, Fraunhofer II
 S); and Marc Stamminger and Tim Weyrich (Friedrich-Alexander-Universität E
 rlangen-Nürnberg)\n---------------------\nRepurposing Diffusion Inpainters
  for Novel View Synthesis\n\nIn this paper, we present a method for genera
 ting consistent novel views from a single source image. Our approach focus
 es on maximizing the reuse of visible pixels from the source view. To achi
 eve this, we use a monocular depth estimator that transfers visible pixels
  from the source view to the targ...\n\n\nYash Kant (University of Toronto
 , Snap Inc.); Aliaksandr Siarohin, Michael Vasilkovsky, Riza Alp Guler, Ji
 an Ren, and Sergey Tulyakov (Snap Inc.); and Igor Gilitschenski (Universit
 y of Toronto)\n\nRegistration Category: Full Access\n\nSession Chair: Binh
 -Son Hua (Trinity College Dublin)
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