pytorch-pretrained-BigGAN
pix2pixHD
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| pytorch-pretrained-BigGAN | pix2pixHD | |
|---|---|---|
| 2 | 6 | |
| 978 | 6,172 | |
| 1.3% | 0.5% | |
| 0.0 | 0.0 | |
| over 2 years ago | about 1 year ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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pytorch-pretrained-BigGAN
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[D] Pre-trained weights for GANs online?
To my surprise, there don't seem to be many GAN weights available for download. Worse yet, many that are available (e.g., https://github.com/huggingface/pytorch-pretrained-BigGAN ) only come with pre-trained generator weights, not discriminator weights. But I need both.
pix2pixHD
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Image to hand drawn
Sources: U2Net, ArtLine, Pix2PixHD, APDrawingGAN
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[P] I made FaceShop! Instance segmentation + CGAN for editing faces (badly)
Pix2PixHD (from DeepSIM)
Uses a mix of instance segmentation (BiSeNet) and conditional GAN, and is heavily inspired by the Pix2PixHD and DeepSIM papers. Will have more details when I wake up!
What are some alternatives?
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments
sofgan - [TOG 2022] SofGAN: A Portrait Image Generator with Dynamic Styling
face-parsing.PyTorch - Using modified BiSeNet for face parsing in PyTorch
generative-inpainting-pytorch - A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)
contrastive-unpaired-translation - Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
CycleGAN - Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
StyleSwin - [CVPR 2022] StyleSwin: Transformer-based GAN for High-resolution Image Generation
Im2Vec - [CVPR 2021 Oral] Im2Vec Synthesizing Vector Graphics without Vector Supervision
DeblurGANv2 - [ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
ArtGAN - ArtGAN + WikiArt: This work presents a series of new approaches to improve GAN for conditional image synthesis and we name the proposed model as “ArtGAN”.
HyperGAN - Composable GAN framework with api and user interface