Unbiased Caustics Rendering Guided by Representative Specular Paths - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year :

Unbiased Caustics Rendering Guided by Representative Specular Paths


Caustics are interesting patterns caused by the light being focused when reflecting off glossy materials. Rendering them in computer graphics is still challenging: they correspond to high luminous intensity focused over a small area. Finding the paths that contribute to this small area is difficult, and even more difficult when using camera-based path tracing instead of bidirectional approaches. Recent improvements in path guiding are still unable to compute efficiently the light paths that contribute to a caustic. In this paper, we present a novel path guiding approach to enable reliable rendering of caustics. Our approach relies on computing representative specular paths, then extending them using a chain of spherical Gaussians. We use these extended paths to estimate the incident radiance distribution and guide path tracing. We combine this approach with several practical strategies, such as spatial reusing and parallax-aware representation for arbitrarily curved reflectors. Our path-guided algorithm using extended specular paths outperforms current state-of-the-art methods and handles multiple bounces of light and a variety of scenes.

Dates and versions

hal-03938179 , version 1 (13-01-2023)





He Li, Beibei Wang, Changhe Tu, Kun Xu, Nicolas Holzschuch, et al.. Unbiased Caustics Rendering Guided by Representative Specular Paths. ASIA 2022 - 15th ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia, Dec 2022, Daegu (Korea), South Korea. pp.1-8, ⟨10.1145/3550469.3555381⟩. ⟨hal-03938179⟩
36 View
0 Download



Gmail Facebook Twitter LinkedIn More