co-mod-gan
ContraD
co-mod-gan | ContraD | |
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1 | 1 | |
431 | 189 | |
- | - | |
1.8 | 0.0 | |
over 2 years ago | over 2 years ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
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co-mod-gan
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Paper explained - Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
[Full Explanation Post] [Arxiv] [Code]
ContraD
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[D] What is the smallest dataset you styleGAN2 trained?
Well, I've been trying to train a 1024 GAN from scratch on stylegan2-ada-pytorch with a small dataset 300 samples of not so diversity in images of painting faces. Fact is that on first try FID went as low as 71 and started deteriorating. Now I x-flip augmented the dataset (700 images) and at 900kimg FID went 64 but I doubt it will get lower. I lowered the learning rate to 0.0001 as they say it might help... Recently found this way of dataset augmentation... probably will use this https://github.com/jh-jeong/ContraD
What are some alternatives?
DeepCreamPy - Decensoring Hentai with Deep Neural Networks
stylegan2-ada-pytorch - StyleGAN2-ADA - Official PyTorch implementation
generative-inpainting-pytorch - A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)
similarity - TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
Fast-SRGAN - A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
DETReg - Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".
pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
edge-connect - EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212
LinkDist - Distillation Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages.