Pix2PixHD is a Pytorch implementation of a deep learning-based method for high-resolution (e.g. 2048x1024) photorealistic image-to-image translation. It can be used for turning semantic label maps into photo-realistic images or synthesizing portraits from face label maps.
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs in CVPR 2018.
The pix2pixHD model is available for commercial use via a Berkeley Software Distribution (BSD) License.
datasetsfolder in the same way the example images are provided.