NVIDIA/pix2pixHD
pix2pixHD
Synthesizing and manipulating 2048x1024 images with conditional GANs
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NVIDIA
NVIDIA • big-tech
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<img src='imgs/teaser_720.gif' align="right" width=360> <br><br><br><br> # pix2pixHD ### [Project](https://tcwang0509.github.io/pix2pixHD/) | [Youtube](https://youtu.be/3AIpPlzM_qs) | [Paper](https://arxiv.org/pdf/1711.11585.pdf) <br> Pytorch implementation of our 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. <br><br> [High-R
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Adversarial TrainingComputer VisionConditional Image GenerationDeep Learning Architecture DesignFeature Matching LossGenerative Adversarial NetworksHigh-Resolution Image SynthesisImage-to-Image TranslationMulti-scale Discriminator Networks
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Adversarial TrainingComputer VisionConditional Image GenerationDeep Learning Architecture DesignFeature Matching LossGenerative Adversarial NetworksHigh-Resolution Image SynthesisImage-to-Image TranslationMulti-scale Discriminator NetworksForkedGPU / CUDAGraspingPyTorchPythonResearch / PapersTensorFlowTutorial
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- Project created
- Dec 1, 2017
- Forked
- Mar 14, 2026
- Your last push
- 1 years ago
- Upstream last push
- 1 years ago
- Tracked since
- Nov 4, 2024
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