{"id":2796,"date":"2011-02-10T14:12:28","date_gmt":"2011-02-10T14:12:28","guid":{"rendered":"http:\/\/hgpu.org\/?p=2796"},"modified":"2011-02-10T14:12:28","modified_gmt":"2011-02-10T14:12:28","slug":"random-access-rendering-of-general-vector-graphics","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=2796","title":{"rendered":"Random-access rendering of general vector graphics"},"content":{"rendered":"<p>We introduce a novel representation for random-access rendering of antialiased vector graphics on the GPU, along with efficient encoding and rendering algorithms. The representation supports a broad class of vector primitives, including multiple layers of semitransparent filled and stroked shapes, with quadratic outlines and color gradients. Our approach is to create a coarse lattice in which each cell contains a variable-length encoding of the graphics primitives it overlaps. These cell-specialized encodings are interpreted at runtime within a pixel shader. Advantages include localized memory access and the ability to map vector graphics onto arbitrary surfaces, or under arbitrary deformations. Most importantly, we perform both prefiltering and supersampling within a single pixel shader invocation, achieving inter-primitive antialiasing at no added memory bandwidth cost. We present an efficient encoding algorithm, and demonstrate high-quality real-time rendering of complex, real-world examples.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We introduce a novel representation for random-access rendering of antialiased vector graphics on the GPU, along with efficient encoding and rendering algorithms. The representation supports a broad class of vector primitives, including multiple layers of semitransparent filled and stroked shapes, with quadratic outlines and color gradients. Our approach is to create a coarse lattice in [&hellip;]<\/p>\n","protected":false},"author":351,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[180,11,3],"tags":[1797,1782,480,114,20,183,144],"class_list":["post-2796","post","type-post","status-publish","format-standard","hentry","category-3d-graphics-and-realism","category-computer-science","category-paper","tag-3d-graphics-and-realism","tag-computer-science","tag-directx","tag-hlsl","tag-nvidia","tag-nvidia-geforce-8800-gtx","tag-rendering"],"views":2342,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/2796","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/users\/351"}],"replies":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2796"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/2796\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2796"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2796"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2796"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}