English
资源说明：The traditional approach in texture synthesis is to compare color
neighborhoods with those of an exemplar. 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. We perform dimensionality reduction on
these vectors prior to synthesis, to create a new appearance-space
exemplar. Unlike a texton space, our appearance space is low-
dimensional and Euclidean. Synthesis in this information-rich
space lets us reduce runtime neighborhood vectors from 5×5 grids
to just 4 locations. Building on this unifying framework, we
introduce novel techniques for coherent anisometric synthesis,
surface texture synthesis directly in an ordinary atlas, and texture
advection. Remarkably, we achieve all these functionalities in
real-time, or 3 to 4 orders of magnitude faster than prior work.
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