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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 …

We provide pretrained models for birds, flowers, and coco. Download the pretrained models. Save them to the Models/ folder. If you find HDGAN useful in your research, please cite: MIT. …

When different reconstruction algorithms and settings are adopted to prepare high-quality images, LDCT datasets for deep learning can be unpaired. To address this problem, we propose …

Jul 30, 2019 · pix2pixHD能够利用条件GAN进行2048x1024分辨率的图像合成和处理，输入语义标注图生成接近真实的现实世界图像，例如街景图、人脸图像等，并且只需简单的操作即可修改 …

To address the challenges, we propose a novel virtual try-on method called VITON-HD that successfully synthesizes 1024x768 virtual try-on images. Specifically, we first prepare the …

In this paper, we propose a novel unsupervised AD Host-IDS for internet of things (IoT) based on adversarial training architecture using the generative adversarial network (GAN).

Nov 17, 2017 · A novel bias-free dataset, Curtó & Zarza, containing human faces from different ethnical groups in a wide variety of illumination conditions and image resolutions is introduced. …

Jun 15, 2022 · This paper proposes a novel 3D-aware GAN that can generate high resolution images (up to 1024X1024) while keeping strict 3D consistency as in volume rendering. Our …

When different reconstruction algorithms and settings are adopted to prepare high-quality images, LDCT datasets for deep learning can be unpaired. To address this problem, we propose …