ContraD VS pix2pixHD

Compare ContraD vs pix2pixHD and see what are their differences.

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ContraD pix2pixHD
1 6
186 6,498
- 0.8%
0.0 0.0
over 2 years ago 10 months ago
Python Python
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

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

pix2pixHD

Posts with mentions or reviews of pix2pixHD. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-04.

What are some alternatives?

When comparing ContraD and pix2pixHD you can also consider the following projects:

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”.

gaussian-splatting - Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"