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Graph."],"published-print":{"date-parts":[[2015,12,29]]},"abstract":"<jats:p>\n            Raster images are the standard format for texture mapping, but they suffer from limited resolution. Vector graphics are resolution-independent but are less general and more difficult to implement on a GPU. We propose a hybrid representation called vector regression functions (VRFs), which compactly approximate any point-sampled image and support GPU texture mapping, including random access and filtering operations. Unlike standard GPU texture compression, (VRFs) provide a variable-rate encoding in which piecewise smooth regions compress to the square root of the original size. Our key idea is to represent images using the\n            <jats:italic>multilayer perceptron<\/jats:italic>\n            , allowing general encoding via regression and efficient decoding via a simple GPU pixel shader. We also propose a content-aware spatial partitioning scheme to reduce the complexity of the neural network model. We demonstrate benefits of our method including its quality, size, and runtime speed.\n          <\/jats:p>","DOI":"10.1145\/2818996","type":"journal-article","created":{"date-parts":[[2015,12,30]],"date-time":"2015-12-30T13:13:41Z","timestamp":1451481221000},"page":"1-10","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":12,"title":["Vector Regression Functions for Texture Compression"],"prefix":"10.1145","volume":"35","author":[{"given":"Ying","family":"Song","sequence":"first","affiliation":[{"name":"Zhejiang Sci-Tech University and State key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiaping","family":"Wang","sequence":"additional","affiliation":[{"name":"Aiur"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li-Yi","family":"Wei","sequence":"additional","affiliation":[{"name":"Dragoniac"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wencheng","family":"Wang","sequence":"additional","affiliation":[{"name":"Zhejiang Sci-Tech University and State key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2015,12,29]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2366145.2366192"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2010.77"},{"key":"e_1_2_1_3_1","unstructured":"C. Dong C. C. Loy K. He and X. Tang. 2015. Image super-resolution using deep convolutional networks. CoRR abs\/1501.00092.  C. Dong C. C. Loy K. He and X. Tang. 2015. Image super-resolution using deep convolutional networks. CoRR abs\/1501.00092."},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/1275808.1276496"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2024156.2024200"},{"key":"e_1_2_1_6_1","unstructured":"R. Franzen. 1999. Kodak lossless true color image suite. http:\/\/r0k.us\/graphics\/kodak\/.  R. Franzen. 1999. 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U.S. Patent 5956431 filed October 2 1997 and issued September 21 1999."},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/1661412.1618463"},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0923-5965(98)00041-1"},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/1576246.1531391"},{"key":"e_1_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.5555\/2383894.2383939"},{"key":"e_1_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/1186822.1073261"},{"key":"e_1_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/1179352.1141926"},{"key":"e_1_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/1944745.1944749"},{"key":"e_1_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/311535.311562"},{"key":"e_1_2_1_22_1","unstructured":"Microsoft Corporation. 2013. Directx11 bc6h\/bc7 directcompute encoder tool. https:\/\/code.msdn.microsoft.com\/windowsdesktop\/BC6HBC7-DirectCompute-35e8884a.  Microsoft Corporation. 2013. 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