anycost-gan VS stylegan-waifu-generator

Compare anycost-gan vs stylegan-waifu-generator and see what are their differences.

stylegan-waifu-generator

Generate your waifu with styleGAN, stylegan老婆生成器 (by diva-eng)
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anycost-gan stylegan-waifu-generator
1 1
637 6
3.3% -
3.0 2.6
5 months ago 10 months ago
Python Python
MIT License MIT License
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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.

stylegan-waifu-generator

Posts with mentions or reviews of stylegan-waifu-generator. 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 stylegan-waifu-generator you can also consider the following projects:

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.

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

alias-free-gan-pytorch - Unofficial implementation of Alias-Free Generative Adversarial Networks. (https://arxiv.org/abs/2106.12423) in PyTorch

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

stylegan2-pytorch - Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch

pic-recon - Code associated with the paper "Prior Image-Constrained Reconstruction using Style-Based Generative Models" accepted to ICML 2021.

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

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

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

ilo - [ICML 2021] Official implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models