DeepSIM VS stylegan3-editing

Compare DeepSIM vs stylegan3-editing and see what are their differences.

DeepSIM

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

stylegan3-editing

Official Implementation of "Third Time's the Charm? Image and Video Editing with StyleGAN3" (AIM ECCVW 2022) https://arxiv.org/abs/2201.13433 (by yuval-alaluf)
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DeepSIM stylegan3-editing
3 2
418 637
- -
1.8 0.0
over 2 years ago over 1 year ago
Python Python
GNU General Public License v3.0 or later 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.

DeepSIM

Posts with mentions or reviews of DeepSIM. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-25.

stylegan3-editing

Posts with mentions or reviews of stylegan3-editing. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing DeepSIM and stylegan3-editing you can also consider the following projects:

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

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

SDEdit - PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations

ALAE - [CVPR2020] Adversarial Latent Autoencoders

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

PyTorch-StudioGAN - StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

StyleGAN_PyTorch - The implementation of StyleGAN on PyTorch 1.0.1

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

Text2LIVE - Official Pytorch Implementation for "Text2LIVE: Text-Driven Layered Image and Video Editing" (ECCV 2022 Oral)

restyle-encoder - Official Implementation for "ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement" (ICCV 2021) https://arxiv.org/abs/2104.02699