Synthesizing Structured Image Hybrids

Eric Risser¹ Charles Han² Rozenn Dahyot¹ Eitan Grinspun²

¹Trinity College Dublin ²Columbia University

Abstract

Example-based texture synthesis algorithms generate novel texture images from example data. A popular hierarchical pixel-based approach uses spatial jitter to introduce diversity, at the risk of breaking coarse structure beyond repair. We propose a multiscale descriptor that enables appearance-space jitter, which retains structure. This idea enables repurposing of existing texture synthesis implementations for a qualitatively different problem statement and class of inputs: generating hybrids of structured images.

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BibTeX

@article{RHDG10,
    author = {Eric Risser and Charles Han and Rozenn Dahyot and Eitan Grinspun},
    title = {Synthesizing Structured Image Hybrids},
    journal = {ACM Transactions on Graphics (Proceedings of SIGGRAPH 2010)},
    year = {2010},
    volume = {29},
    number = {4},
    pages = {85:1--85:6}
}