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DTSTAMP:20260114T163652Z
LOCATION:Meeting Room C4.11\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231214T102000
DTEND;TZID=Australia/Melbourne:20231214T103000
UID:siggraphasia_SIGGRAPH Asia 2023_sess129_papers_820@linklings.com
SUMMARY:Transparent Object Reconstruction via Implicit Differentiable Refr
 action Rendering
DESCRIPTION:Fangzhou Gao, Lianghao Zhang, Li Wang, Jiamin Cheng, and Jiawa
 n Zhang (Tianjin University)\n\nReconstructing the geometry of transparent
  objects has been a long-standing challenge. Existing methods rely on comp
 lex setups, such as manual annotation or darkroom conditions, to obtain ob
 ject silhouettes and usually require controlled environments with designed
  patterns to infer ray-background correspondence. However, these intricate
  arrangements limit the practical application for common users. In this pa
 per, we significantly simplify the setups and present a novel method that 
 reconstructs transparent objects in unknown natural scenes without manual 
 assistance. Our method incorporates two key technologies. Firstly, we intr
 oduce a volume rendering-based method that estimates object silhouettes by
  projecting the 3D neural field onto 2D images. This automated process yie
 lds highly accurate multi-view object silhouettes from images captured in 
 natural scenes. Secondly, we propose transparent object optimization throu
 gh differentiable refraction rendering with the neural SDF field, enabling
  us to optimize the refraction ray based on color rather than explicit ray
 -background correspondence. Additionally, our optimization includes a ray 
 sampling method to supervise the object silhouette at a low computational 
 cost. Extensive experiments and comparisons demonstrate that our method pr
 oduces high-quality results while offering much more convenient setups.\n\
 nRegistration Category: Full Access\n\nSession Chair: Marc Stamminger (Fri
 edrich-Alexander-Universität Erlangen-Nürnberg (FAU))\n\n
URL:https://asia.siggraph.org/2023/full-program?id=papers_820&sess=sess129
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