StyleSwin VS pix2pixHD

Compare StyleSwin vs pix2pixHD and see what are their differences.

StyleSwin

[CVPR 2022] StyleSwin: Transformer-based GAN for High-resolution Image Generation (by microsoft)
Computer Vision Deep Learning deep-neural-networks Pytorch generative-adversarial-network Gans image-generation image-synthesis styleswin Transformer
Source Code
arxiv.org
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pix2pixHD

Synthesizing and manipulating 2048x1024 images with conditional GANs (by NVIDIA)
Gan Deep Learning deep-neural-networks Pytorch Pix2pix image-to-image-translation generative-adversarial-network Computer Vision computer-graphics
Source Code
tcwang0509.github.io
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StyleSwin pix2pixHD
1 6
462 6,521
1.3% 0.9%
0.0 0.0
about 1 year ago 11 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.
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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.

StyleSwin

Posts with mentions or reviews of StyleSwin. 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 StyleSwin and pix2pixHD you can also consider the following projects:

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

anycost-gan - [CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments

Anime2Sketch - A sketch extractor for anime/illustration.

sofgan - [TOG 2022] SofGAN: A Portrait Image Generator with Dynamic Styling

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”.

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

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

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

Mask3D - Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.

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

StyleSwin vs pytorch-CycleGAN-and-pix2pix pix2pixHD vs pytorch-CycleGAN-and-pix2pix StyleSwin vs anycost-gan pix2pixHD vs awesome-colab-notebooks StyleSwin vs Anime2Sketch pix2pixHD vs sofgan StyleSwin vs ArtGAN pix2pixHD vs face-parsing.PyTorch StyleSwin vs TFill pix2pixHD vs generative-inpainting-pytorch StyleSwin vs Mask3D pix2pixHD vs contrastive-unpaired-translation