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Example-Guided Style-Consistent Image Synthesis From Semantic Labeling
2019
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Figure 1 : We present a generative adversarial framework for synthesizing images from semantic label maps as well as image exemplars. Our synthetic results are photorealistic, semantically consistent to the label maps (facial expression, pose or scene segmentation map) and style-consistent with corresponding exemplars. Abstract Example-guided image synthesis aims to synthesize an image from a semantic label map and an exemplary image indicating style. We use the term "style" in this problem to
doi:10.1109/cvpr.2019.00159
dblp:conf/cvpr/0004YLLZHH19
fatcat:plmskjeagbasbcxcoaz3fwsfsa