TraVeLGAN_with_perceptual_loss VS image_edit

Compare TraVeLGAN_with_perceptual_loss vs image_edit and see what are their differences.

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)
emoji-transformation photo-to-emoji image-transformations Gan Generative Pytorch Deep Learning generative-adversarial-network siamese-network vgg19 perceptual-losses

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image_edit

Demos of neural image editing (by raven38)
generative-adversarial-network Gan perceptual-losses interactive-visualizations image-generation Deep Learning Pytorch face-attribute-manipulation
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TraVeLGAN_with_perceptual_loss image_edit
1 1
3 11
- -
0.0 0.0
over 3 years ago about 3 years ago
Python Python
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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.

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

TraVeLGAN_with_perceptual_loss vs stylegan-encoder image_edit vs Few-Shot-Patch-Based-Training TraVeLGAN_with_perceptual_loss vs pytorch-CycleGAN-and-pix2pix image_edit vs BlendGAN TraVeLGAN_with_perceptual_loss vs Deep-Exemplar-based-Video-Colorization image_edit vs b2