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DTSTAMP:20260114T163653Z
LOCATION:Meeting Room C4.9+C4.10\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231212T174000
DTEND;TZID=Australia/Melbourne:20231212T175000
UID:siggraphasia_SIGGRAPH Asia 2023_sess162_papers_350@linklings.com
SUMMARY:VMesh: Hybrid Volume-Mesh Representation for Efficient View Synthe
 sis
DESCRIPTION:Yuan-Chen Guo (Tsinghua University, Tencent); Yan-Pei Cao (Ten
 cent); Chen Wang (Tsinghua University); Yu He (Chinese Academy of Sciences
 ); Ying Shan (Tencent); and Song-Hai Zhang (Tsinghua University)\n\nWith t
 he emergence of neural radiance fields (NeRFs), view synthesis quality has
  reached an unprecedented level. Compared to traditional mesh-based assets
 , this volumetric representation is more powerful in expressing scene geom
 etry but inevitably suffers from high rendering costs and can hardly be in
 volved in further processes like editing, posing significant difficulties 
 in combination with the existing graphics pipeline. In this paper, we pres
 ent a hybrid volume-mesh representation, VMesh, which depicts an object wi
 th a textured mesh along with an auxiliary sparse volume. VMesh retains th
 e advantages of mesh-based assets, such as efficient rendering and compact
  storage, while also incorporating the ability to represent subtle geometr
 ic structures provided by the volumetric counterpart. VMesh can be obtaine
 d from multi-view images of an object and renders at 2K 60FPS on common co
 nsumer devices with high fidelity, unleashing new opportunities for real-t
 ime immersive applications.\n\nRegistration Category: Full Access\n\nSessi
 on Chair: Binh-Son Hua (Trinity College Dublin)\n\n
URL:https://asia.siggraph.org/2023/full-program?id=papers_350&sess=sess162
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