DualStyleGAN
Did-Somebody-Say-Corgi
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| DualStyleGAN | Did-Somebody-Say-Corgi | |
|---|---|---|
| 3 | 3 | |
| 1,557 | 87 | |
| - | - | |
| 0.7 | 0.0 | |
| about 1 year ago | over 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU General Public License v3.0 or later | - |
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DualStyleGAN
- DualStyleGAN: A High-Resolution Portrait Style Transfer
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[R][P] Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer + Hugging Face Gradio Web Demo
Github: https://github.com/williamyang1991/DualStyleGAN
- "Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer", Yang et al 2022
Did-Somebody-Say-Corgi
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AI-based corgi synthesis (x-post r/machinelearning)
Have a look at the GitHub page for more information. You can use this Colab Notebook if you'd like synthesize your own corgi images or videos! You probably need some basic Python knowledge though.
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[P] StyleGAN2-ADA trained on cute corgi images <3
Have a look at my [GitHub page](https://github.com/seawee1/Did-Somebody-Say-Corgi) for more information. You'll also find all the links there, i.e. one to the dataset (eventhough I'm not sure if anybody would actually need such a dataset :D) and the model checkpoints.
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StyleGAN2 model trained on images of corgis
It took quite some time to aquire and preprocess the high-resolution corgi dataset, and even more time to train the model using Colab Pro (~18 days). Have a look at my [https://github.com/seawee1/Did-Somebody-Say-Corgi](GitHub page) for more information. You can also play around with it using this Colab notebook.
What are some alternatives?
Cartoon-StyleGAN - Fine-tuning StyleGAN2 for Cartoon Face Generation
models - A collection of pre-trained, state-of-the-art models in the ONNX format
encoder4editing - Official implementation of "Designing an Encoder for StyleGAN Image Manipulation" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02766
SatelliteCloudGenerator - A PyTorch-based tool to generate clouds for satellite images.
StyleCLIPDraw - Styled text-to-drawing synthesis method. Featured at IJCAI 2022 and the 2021 NeurIPS Workshop on Machine Learning for Creativity and Design
cartoonify - Deploy and scale serverless machine learning app - in 4 steps.
TargetCLIP - [ECCV 2022] Official PyTorch implementation of the paper Image-Based CLIP-Guided Essence Transfer.
FixNoise - Official Pytorch Implementation for "Fix the Noise: Disentangling Source Feature for Controllable Domain Translation" (CVPR 2023, CVPRW 2022 Best paper)
stable-diffusion-reference-only - img2img version of stable diffusion. Anime Character Remix. Line Art Automatic Coloring. Style Transfer.