ContraD VS co-mod-gan

Compare ContraD vs co-mod-gan and see what are their differences.

ContraD

Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021) (by jh-jeong)
Deep Learning generative-adversarial-network Gan contrastive-learning unsupervised-learning data-augmentation iclr2021 Pytorch
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openreview.net
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co-mod-gan

[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks (by zsyzzsoft)
image-completion image-inpainting image-to-image-translation iclr2021 Gans Tensorflow generative-adversarial-network
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ContraD co-mod-gan
1 1
186 431
- -
0.0 1.8
over 2 years ago over 2 years ago
Python Python
MIT License GNU General Public License v3.0 or later
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ContraD

Posts with mentions or reviews of ContraD. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-04.
  • [D] What is the smallest dataset you styleGAN2 trained?
    2 projects | /r/MachineLearning | 4 Jun 2021
    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

co-mod-gan

Posts with mentions or reviews of co-mod-gan. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing ContraD and co-mod-gan you can also consider the following projects:

stylegan2-ada-pytorch - StyleGAN2-ADA - Official PyTorch implementation

DeepCreamPy - Decensoring Hentai with Deep Neural Networks

similarity - TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

generative-inpainting-pytorch - A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)

DETReg - Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".

Fast-SRGAN - A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

LinkDist - Distillation Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages.

edge-connect - EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

AdamP - AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (ICLR 2021)

TFill - [CVPR 2022]: Bridging Global Context Interactions for High-Fidelity Image Completion

ContraD vs stylegan2-ada-pytorch co-mod-gan vs DeepCreamPy ContraD vs similarity co-mod-gan vs generative-inpainting-pytorch ContraD vs DETReg co-mod-gan vs Fast-SRGAN ContraD vs pytorch-CycleGAN-and-pix2pix co-mod-gan vs pix2pixHD ContraD vs LinkDist co-mod-gan vs edge-connect ContraD vs AdamP co-mod-gan vs TFill