The traditional approach in texture synthesis is to compare color neighborhoods with those of an exemplar.\u00a0 We show that quality is greatly improved if pointwise colors are replaced by appearance vectors that incorporate nonlocal information such as feature and radiance-transfer data.\u00a0 We perform dimensionality reduction on these vectors prior to synthesis, to create a new appearance-space exemplar.\u00a0 Unlike a texton space, our appearance space is low-dimensional and Euclidean.\u00a0 Synthesis in this information-rich space lets us reduce runtime neighborhood vectors from 5\u00d75 grids to just 4 locations.\u00a0 Building on this unifying framework, we introduce novel techniques for coherent anisometric synthesis, surface texture synthesis directly in an ordinary atlas, and texture advection.\u00a0 Remarkably, we achieve all these functionalities in real-time, or 3 to 4 orders of magnitude faster than prior work.<\/p>\n","protected":false},"excerpt":{"rendered":"
The traditional approach in texture synthesis is to compare color neighborhoods with those of an exemplar.\u00a0 We show that quality is greatly improved if pointwise colors are replaced by appearance vectors that incorporate nonlocal information such as feature and radiance-transfer data.\u00a0 We perform dimensionality reduction on these vectors prior to synthesis, to create a new […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"ACM Trans. Graph.","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"ACM Trans. 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