DCT-Net
ganspace
| DCT-Net | ganspace | |
|---|---|---|
| 1 | 3 | |
| 712 | 1,766 | |
| - | - | |
| 3.4 | 0.0 | |
| 7 months ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | Apache License 2.0 |
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DCT-Net
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Alibaba AI Research Team Introduces ‘DCT-Net’; A Novel Image Translation Architecture For Few-Shot Portrait Stylization
Continue reading | Checkout the paper, project and github link
ganspace
- Enforcing AE (and/or VAE) latent vector parameters to learn specific features?
- [P][OC] 3 years ago, we made the music video Jean-Pierre using neural style transfert, optical flow, and Deep dream. Today we release "Inbreed For Thalassa", with auto-morphing, using Generative Adversarial Network, deep-dreaming and glitchs.
- [D] Generating faces with different angles
What are some alternatives?
stable-diffusion-reference-only - img2img version of stable diffusion. Anime Character Remix. Line Art Automatic Coloring. Style Transfer.
GFPGAN-for-Video-SR - A colab notebook for video super resolution using GFPGAN
lama - 🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
pixel2style2pixel - Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
cartoonify - Deploy and scale serverless machine learning app - in 4 steps.
ganbert-pytorch - Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace
faceswap-GAN - A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
ru-dalle - Generate images from texts. In Russian
stylegan-encoder - StyleGAN Encoder - converts real images to latent space
HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
ydata-synthetic - Synthetic data generators for tabular and time-series data
PTI - Official Implementation for "Pivotal Tuning for Latent-based editing of Real Images" (ACM TOG 2022) https://arxiv.org/abs/2106.05744