SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis

    Wengling Chen
    Wengling Chen

    CVPR, pp. 9416-9425, 2018.

    Cited by: 5|Bibtex|Views4|Links
    EI

    Abstract:

    Synthesizing realistic images from human drawn sketches is a challenging problem in computer graphics and vision. Existing approaches either need exact edge maps, or rely on retrieval of existing photographs. In this work, we propose a novel Generative Adversarial Network (GAN) approach that synthesizes plausible images from 50 categories...More

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