cartoonize
Anime-face-generation-DCGAN-webapp
| cartoonize | Anime-face-generation-DCGAN-webapp | |
|---|---|---|
| 2 | 1 | |
| 602 | 9 | |
| 0.5% | - | |
| 0.0 | 0.0 | |
| 8 months ago | over 2 years ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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cartoonize
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Rendering a video like THPS2 š¹
Anyways, I'd suggest some own research via a simple Google or Github search. You can start here on ML models for some cartoonized effects: https://github.com/SystemErrorWang/White-box-Cartoonization with developments into projects like https://github.com/experience-ml/cartoonize
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A online cartoonizer/vectorizer tool
this is the git repo: https://github.com/experience-ml/cartoonize
Anime-face-generation-DCGAN-webapp
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[PROJECT] I Made an Awesome DCGAN Model, That generates pixel perfect images of Animes!
Webapp Source code: https://github.com/janaSunrise/Anime-face-generation-DCGAN-webapp
What are some alternatives?
contrastive-unpaired-translation - Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
BigGAN-PyTorch - The author's officially unofficial PyTorch BigGAN implementation.
anycost-gan - [CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:
White-box-Cartoonization - Official tensorflow implementation for CVPR2020 paper āLearning to Cartoonize Using White-box Cartoon Representationsā
pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs
data-efficient-gans - [NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
Anime-face-generation-DCGAN - An interesting and special GAN method consisting of convolutional layers to generate pixel perfect anime images.
editly - Slick, declarative command line video editing & API
trainer - Simple interface to synthesize complex and highly dimensional datasets using Gretel APIs.