Neural Path Sampling for Rendering Pure Specular Light Transport

Simple item page
dc.contributor.authorYu, Ruien_US
dc.contributor.authorDong, Yueen_US
dc.contributor.authorKong, Youkangen_US
dc.contributor.authorTong, Xinen_US
dc.contributor.editorAlliez, Pierreen_US
dc.contributor.editorWimmer, Michaelen_US
dc.date.accessioned2024-03-23T10:14:56Z
dc.date.available2024-03-23T10:14:56Z
dc.date.issued2024
dc.description.abstractMulti‐bounce, pure specular light paths produce complex lighting effects, such as caustics and sparkle highlights, which are challenging to render due to their sparse and diverse nature. We introduce a learning‐based method for the efficient rendering of pure specular light transport. The key idea is training a neural network to model the distribution of all specular light paths between pairs of endpoints for one specular object. To achieve this, for each object, our method models the distribution of sparse and diverse specular light paths between two endpoints using smooth 2D maps of ray directions from one endpoint and represents these maps with a 2D convolutional network. We design a training scheme to efficiently sample specular light paths from the scene and train the network. Once trained, our method predicts specular light paths for a given pair of endpoints using the network and employs root‐finding‐based algorithms for rendering the specular light transport. Experimental results demonstrate that our method generates high‐quality results, supports dynamic lighting and moving objects within the scene, and significantly enhances the rendering speed of existing techniques.en_US
dc.description.number1
dc.description.sectionheadersARTICLES
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume43
dc.identifier.doi10.1111/cgf.14997
dc.identifier.issn1467-8659
dc.identifier.pages16 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.14997
dc.identifier.urihttps://diglib.eg.org/handle/10.1111/cgf14997
dc.publisher© 2024 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd.en_US
dc.subjectrendering
dc.subjectray tracing
dc.subjectpure specular light transport
dc.titleNeural Path Sampling for Rendering Pure Specular Light Transporten_US
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
v43i1_17_cgf14997.pdf
Size:
12.41 MB
Format:
Adobe Portable Document Format
Download
Collections
43-Issue 1