TraVeLGAN_with_perceptual_loss
The implementation code of Thesis project which entitled "Photo-to-Emoji Transformation with TraVeLGAN and Perceptual Loss" as a final project in my master study. (by richardoey)
image_edit
Demos of neural image editing (by raven38)
TraVeLGAN_with_perceptual_loss | image_edit | |
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1 | 1 | |
3 | 11 | |
- | - | |
0.0 | 0.0 | |
over 3 years ago | about 3 years ago | |
Python | Python | |
- | - |
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.
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.
TraVeLGAN_with_perceptual_loss
Posts with mentions or reviews of TraVeLGAN_with_perceptual_loss.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Style Transfer -- presented on GTC 2017, source code available?
I recommend this: https://github.com/richardoey/TraVeLGAN_with_perceptual_loss
image_edit
Posts with mentions or reviews of image_edit.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing TraVeLGAN_with_perceptual_loss and image_edit you can also consider the following projects:
stylegan-encoder - StyleGAN Encoder - converts real images to latent space
Few-Shot-Patch-Based-Training - The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
BlendGAN - Official PyTorch implementation of "BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation" (NeurIPS 2021)
Deep-Exemplar-based-Video-Colorization - The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".
b2 - Bridging Code and Interactive Visualization in Computational Notebooks