FixNoise VS DualStyleGAN

Compare FixNoise vs DualStyleGAN and see what are their differences.

FixNoise

Official Pytorch Implementation for "Fix the Noise: Disentangling Source Feature for Controllable Domain Translation" (CVPR 2023, CVPRW 2022 Best paper) (by LeeDongYeun)

DualStyleGAN

[CVPR 2022] Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer (by williamyang1991)
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FixNoise DualStyleGAN
2 3
179 1,557
- -
3.9 0.7
almost 1 year ago about 1 year ago
Jupyter Notebook Jupyter Notebook
GNU General Public License v3.0 or later 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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FixNoise

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

DualStyleGAN

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

What are some alternatives?

When comparing FixNoise and DualStyleGAN you can also consider the following projects:

pixel2style2pixel - Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework

Cartoon-StyleGAN - Fine-tuning StyleGAN2 for Cartoon Face Generation

encoder4editing - Official implementation of "Designing an Encoder for StyleGAN Image Manipulation" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02766

PixelAlchemist - Semantic image editing in realtime with a multi-parameter interface for StyleCLIP global directions

StyleCLIPDraw - Styled text-to-drawing synthesis method. Featured at IJCAI 2022 and the 2021 NeurIPS Workshop on Machine Learning for Creativity and Design

gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

cartoonify - Deploy and scale serverless machine learning app - in 4 steps.

stylegan2-projecting-images - Projecting images to latent space with StyleGAN2.

TargetCLIP - [ECCV 2022] Official PyTorch implementation of the paper Image-Based CLIP-Guided Essence Transfer.

Did-Somebody-Say-Corgi - Image Synthesis + Corgis = <3

stable-diffusion-reference-only - img2img version of stable diffusion. Anime Character Remix. Line Art Automatic Coloring. Style Transfer.