pytorch-pretrained-BigGAN VS pix2pixHD

Compare pytorch-pretrained-BigGAN vs pix2pixHD and see what are their differences.

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pytorch-pretrained-BigGAN pix2pixHD
1 5
935 5,763
3.2% 1.5%
0.0 0.0
over 1 year ago about 1 month ago
Python Python
MIT License GNU General Public License v3.0 or later
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pytorch-pretrained-BigGAN

Posts with mentions or reviews of pytorch-pretrained-BigGAN. We have used some of these posts to build our list of alternatives and similar projects.

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 pytorch-pretrained-BigGAN 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

contrastive-unpaired-translation - Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

Im2Vec - [CVPR 2021 Oral] Im2Vec Synthesizing Vector Graphics without Vector Supervision

ArtGAN - ArtGAN: This work presents a series of new approaches to improve Generative Adversarial Network (GAN) for conditional image synthesis and we name the proposed model as “ArtGAN”. Implementations are in Caffe/Tensorflow.

face-parsing.PyTorch - Using modified BiSeNet for face parsing in PyTorch

DeblurGANv2 - [ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

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

DeepSIM - Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)

CycleGAN - Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

co-mod-gan - [ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks