1k citations · 3.1k across the 67 of their papers we have counts for
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Learning a Discriminative Model for the Perception of Realism in Composite Images
Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman +1
What makes an image appear realistic? In this work, we are answering this question from a data-driven perspective by learning the perception of visual realism directly from large a…
DeepFont: Identify Your Font from An Image
Zhangyang Wang, Jianchao Yang, Hailin Jin +4
As font is one of the core design concepts, automatic font identification and similar font suggestion from an image or photo has been on the wish list of many designers. We study t…
Real-World Font Recognition Using Deep Network and Domain Adaptation
Zhangyang Wang, Jianchao Yang, Hailin Jin +4
We address a challenging fine-grain classification problem: recognizing a font style from an image of text. In this task, it is very easy to generate lots of rendered font examples…