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DTSTAMP:20260114T163640Z
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:Linning Xu (The Chinese University of Hong Kong, Meta); Vasu A
 grawal, William Laney, Tony Garcia, Aayush Bansal, Changil Kim, Samuel Rot
 a Bulò, Lorenzo Porzi, Peter Kontschieder, and Aljaž Božič (Meta); Dahua L
 in (The Chinese University of Hong Kong); and Michael Zollhoefer and Chris
 tian Richardt (Meta)\n\nWe present an end-to-end system for the high-fidel
 ity capture, model reconstruction and real-time rendering of walkable spac
 es in virtual reality using neural radiance fields. To this end, we design
 ed and built a custom multi-camera rig to densely capture walkable spaces 
 in high fidelity with multi-view high dynamic range images in unprecedente
 d quality and density. We extend instant neural graphics primitives with a
  novel perceptual color space for learning accurate HDR appearance, and an
  efficient mip-mapping mechanism for level-of-detail rendering with anti-a
 liasing, while carefully optimizing the trade-off between quality and spee
 d. Our multi-GPU renderer enables high-fidelity volume rendering of our ne
 ural 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-fidelity datasets, and compare our method and dataset
 s to existing baselines.\n\nRegistration Category: Full Access\n\nSession 
 Chair: Sheng Li (Peking University)\n\n
URL:https://asia.siggraph.org/2023/full-program?id=papers_188&sess=sess147
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