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DTSTAMP:20240214T070245Z
LOCATION:Meeting Room C4.11\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231213T164000
DTEND;TZID=Australia/Melbourne:20231213T165000
UID:siggraphasia_SIGGRAPH Asia 2023_sess153_papers_662@linklings.com
SUMMARY:LiveNVS: Neural View Synthesis on Live RGB-D Streams
DESCRIPTION:Technical Communications, Technical Papers\n\nLaura Fink (Frie
 drich-Alexander-Universität Erlangen-Nürnberg, Fraunhofer IIS); Darius Rüc
 kert and Linus Franke (Friedrich-Alexander-Universität Erlangen-Nürnberg);
  Joachim Keinert (Fraunhofer IIS); and Marc Stamminger (Friedrich-Alexande
 r-Universität Erlangen-Nürnberg)\n\nExisting real-time RGB-D reconstructio
 n approaches, like Kinect Fusion, lack real-time photo-realistic visualiza
 tion. This is due to noisy, oversmoothed or incomplete geometry and blurry
  textures which are fused from imperfect depth maps and camera poses. Rece
 nt neural rendering methods can overcome many of such artifacts but are mo
 stly optimized for offline usage, hindering the integration into a live re
 construction pipeline.\n\nIn this paper, we present LiveNVS, a system that
  allows for neural novel view synthesis on a live RGB-D input stream with 
 very low latency and real-time rendering. Based on the RGB-D input stream,
  novel views are rendered by projecting neural features into the target vi
 ew via a densely fused depth map and aggregating the features in image-spa
 ce to a target feature map. A generalizable neural network then translates
  the target feature map into a high-quality RGB image. LiveNVS achieves st
 ate-of-the-art neural rendering quality of unknown scenes during capturing
 , allowing users to virtually explore the scene and assess reconstruction 
 quality in real-time.\n\nRegistration Category: Full Access\n\nSession Cha
 ir: Jonah Brucker-Cohen (Lehman College / CUNY, New Inc.)
URL:https://asia.siggraph.org/2023/full-program?id=papers_662&sess=sess153
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