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NVIDIA/pix2pixHD

A PyTorch implementation of conditional GANs for synthesizing and editing high-resolution photorealistic images from semantic label maps.

6.9k stars Python Image · Video · Audio
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This repository implements high-resolution image-to-image translation using conditional GANs, capable of generating 2048x1024 photorealistic images from semantic label maps. The model supports interactive editing for changing styles and object layouts in generated images. It is built in PyTorch and published at CVPR 2018 by NVIDIA and UC Berkeley researchers.

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