Hand Shadow Art: A Differentiable Rendering Perspective

Simple item page
dc.contributor.authorGangopadhyay, Aaloken_US
dc.contributor.authorSingh, Prajwalen_US
dc.contributor.authorTiwari, Ashishen_US
dc.contributor.authorRaman, Shanmuganathanen_US
dc.contributor.editorChaine, Raphaëlleen_US
dc.contributor.editorDeng, Zhigangen_US
dc.contributor.editorKim, Min H.en_US
dc.date.accessioned2023-10-09T07:42:53Z
dc.date.available2023-10-09T07:42:53Z
dc.date.issued2023
dc.description.abstractShadow art is an exciting form of sculptural art that produces captivating artistic effects through the 2D shadows cast by 3D shapes. Hand shadows, also known as shadow puppetry or shadowgraphy, involve creating various shapes and figures using your hands and fingers to cast meaningful shadows on a wall. In this work, we propose a differentiable rendering-based approach to deform hand models such that they cast a shadow consistent with a desired target image and the associated lighting configuration. We showcase the results of shadows cast by a pair of two hands and the interpolation of hand poses between two desired shadow images. We believe that this work will be a useful tool for the graphics community.en_US
dc.description.sectionheadersPosters
dc.description.seriesinformationPacific Graphics Short Papers and Posters
dc.identifier.doi10.2312/pg.20231279
dc.identifier.isbn978-3-03868-234-9
dc.identifier.pages107-108
dc.identifier.pages2 pages
dc.identifier.urihttps://doi.org/10.2312/pg.20231279
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/pg20231279
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies -> Rendering; Optimization; Neural Nets
dc.subjectComputing methodologies
dc.subjectRendering
dc.subjectOptimization
dc.subjectNeural Nets
dc.titleHand Shadow Art: A Differentiable Rendering Perspectiveen_US
Files
Original bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
107-108.pdf
Size:
1.41 MB
Format:
Adobe Portable Document Format
Download
No Thumbnail Available
Name:
conf1006_poster.pdf
Size:
988.04 KB
Format:
Adobe Portable Document Format
Download
Collections
PG2023 Short Papers and Posters