FixNoise VS PixelAlchemist

Compare FixNoise vs PixelAlchemist 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)

PixelAlchemist

Semantic image editing in realtime with a multi-parameter interface for StyleCLIP global directions (by titusss)
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FixNoise PixelAlchemist
2 1
179 12
- -
3.9 0.0
almost 1 year ago almost 2 years ago
Jupyter Notebook Jupyter Notebook
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.
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.

FixNoise

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

PixelAlchemist

Posts with mentions or reviews of PixelAlchemist. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-26.
  • [R] New datasets for StyleGAN
    2 projects | /r/MachineLearning | 26 May 2022
    Fantastic work, can't wait to read the paper. Looking at the editing results, did you do any preprocessing with StyleCLIP global directions, by chance? I recently built a dynamic multi-parameter interface for semantic editing w. StyleCLIP and want to expand the available datasets.

What are some alternatives?

When comparing FixNoise and PixelAlchemist 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

neural-instrument-cloning - In this project we combine techniques from neural voice cloning and musical instrument synthesis to achieve good results from as little as 16 seconds of target data.

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

SDIP_utils - Utilities for self-distilled internet photos datasets

DualStyleGAN - [CVPR 2022] Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer

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

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