anycost-gan VS StyleSwin

Compare anycost-gan vs StyleSwin and see what are their differences.

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anycost-gan StyleSwin
1 1
768 462
0.3% 1.3%
2.5 0.0
7 months ago about 1 year ago
Python Python
MIT License MIT License
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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.

anycost-gan

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

StyleSwin

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

What are some alternatives?

When comparing anycost-gan and StyleSwin you can also consider the following projects:

lightweight-gan - Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

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

PaddleGAN - PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.

Anime2Sketch - A sketch extractor for anime/illustration.

Anime-face-generation-DCGAN-webapp - A port of my Anime face generation using Pytorch into a Webapp

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”.

stylegan-waifu-generator - Generate your waifu with styleGAN, stylegan老婆生成器

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

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

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