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DTSTAMP:20240214T070245Z
LOCATION:Meeting Room C4.8\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231213T174500
DTEND;TZID=Australia/Melbourne:20231213T175500
UID:siggraphasia_SIGGRAPH Asia 2023_sess147_papers_188@linklings.com
SUMMARY:VR-NeRF: High-Fidelity Virtualized Walkable Spaces
DESCRIPTION:Technical Communications, Technical Papers\n\nLinning Xu (The 
 Chinese University of Hong Kong, Meta); Vasu Agrawal, William Laney, Tony 
 Garcia, Aayush Bansal, Changil Kim, Samuel Rota Bulň, Lorenzo Porzi, Peter
  Kontschieder, and Aljaž Božič (Meta); Dahua Lin (The Chinese University o
 f Hong Kong); and Michael Zollhoefer and Christian Richardt (Meta)\n\nWe p
 resent an end-to-end system for the high-fidelity capture, model reconstru
 ction and real-time rendering of walkable spaces in virtual reality using 
 neural radiance fields. To this end, we designed and built a custom multi-
 camera rig to densely capture walkable spaces in high fidelity with multi-
 view high dynamic range images in unprecedented quality and density. We ex
 tend instant neural graphics primitives with a novel perceptual color spac
 e for learning accurate HDR appearance, and an efficient mip-mapping mecha
 nism for level-of-detail rendering with anti-aliasing, while carefully opt
 imizing the trade-off between quality and speed. Our multi-GPU renderer en
 ables high-fidelity volume rendering of our neural radiance field model at
  the full VR resolution of dual 2K×2K at 36 Hz on our custom demo machine.
  We demonstrate the quality of our results on our challenging high-fidelit
 y datasets, and compare our method and datasets to existing baselines.\n\n
 Registration Category: Full Access\n\nSession Chair: Sheng Li (Peking Univ
 ersity)
URL:https://asia.siggraph.org/2023/full-program?id=papers_188&sess=sess147
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