SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis
CVPR, pp. 9416-9425, 2018.
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