JIA-Lab-research/SCGAN
The implementation of 'Image synthesis via semantic composition', ICCV2021.
This tool helps researchers and content creators generate realistic images from semantic layouts. You provide a segmented image (like a map showing different objects or regions) and it outputs a corresponding photorealistic image, such as a street scene or a human face. It's used by those who need to visualize concepts or create diverse image datasets from structural information.
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Use this if you need to synthesize new, photorealistic images directly from abstract semantic segmentation maps, like generating varied faces from a face mask or cityscapes from a scene layout.
Not ideal if you're looking to edit existing photos, perform simple image filtering, or generate images without semantic guidance.
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83
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7
Language
Python
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Last pushed
Mar 03, 2023
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