Learning to Rasterize Differentiably
Learning to Rasterize Differentiably
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Contents
Differentiable rasterization changes the standard formulation of primitive rasterization -- by enabling gradient flow from a pixel to its underlying triangles -- using distribution functions in different stages of rendering, creating a "soft" version of the original rasterizer. However, choosing the optimal softening function that ensures the best...
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Full title
Learning to Rasterize Differentiably
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TN_cdi_proquest_journals_2740742867
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2740742867
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E-ISSN
2331-8422
DOI
10.48550/arxiv.2211.13333
