Chapter 5: Deep conditional image generation
Towards controllable visual pattern modeling
Gang Huaa; Dongdong Chenb aWormpex AI Research, Bellevue, WA, United StatesbMicrosoft Cloud & AI, Redmond, WA, United States
Abstract
Learning visual patterns is a key and fundamental building block for visual perception towards machine intelligence. By definition, a visual pattern is a discernable visual regularity in the world, whose compositional elements as a whole, repeat in a predictable manner. Correspondingly, there are three fundamental tasks in pattern analysis, i.e., pattern recognition, pattern discovery, and pattern synthesis. In this chapter, we devote our discussions to leveraging recent advancement of deep generative models, such as variational ...
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