TargetCLIP
[ECCV 2022] Official PyTorch implementation of the paper Image-Based CLIP-Guided Essence Transfer. (by hila-chefer)
naver-webtoon-faces
Generative models on NAVER Webtoon faces (by bryandlee)
| TargetCLIP | naver-webtoon-faces | |
|---|---|---|
| 3 | 4 | |
| 228 | 290 | |
| - | - | |
| 0.0 | 1.8 | |
| over 1 year ago | almost 3 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | 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.
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.
TargetCLIP
Posts with mentions or reviews of TargetCLIP.
We have used some of these posts to build our list of alternatives
and similar projects.
naver-webtoon-faces
Posts with mentions or reviews of naver-webtoon-faces.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-12-08.
-
[D] Best in style transfer for distributions?
Hi everyone. I am working on a style transfer project inspired by the recent results of toonification projects based on StyleGAN e.g. [1][2].
- Naver Webtoon Faces: dataset and models
- [P] Yet another face cartoonizer w/ a distilled lightweight model
-
SwapAE gives pretty satisfying results
project page: https://github.com/bryandlee/naver-webtoon-faces
What are some alternatives?
When comparing TargetCLIP and naver-webtoon-faces you can also consider the following projects:
clip-italian - CLIP (Contrastive Language–Image Pre-training) for Italian
pix2pix - Image-to-image translation with conditional adversarial nets
natural-language-youtube-search - Search inside YouTube videos using natural language
ru-dalle - Generate images from texts. In Russian
DualStyleGAN - [CVPR 2022] Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer
pytorch-generative - Easy generative modeling in PyTorch.
Text2LIVE - Official Pytorch Implementation for "Text2LIVE: Text-Driven Layered Image and Video Editing" (ECCV 2022 Oral)
LLVIP - LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
SOAT - Official PyTorch repo for StyleGAN of All Trades: Image Manipulation with Only Pretrained StyleGAN.