pixel2style2pixel
StyleGAN encoder framework
An implementation of an image-to-image translation framework using StyleGAN encoders and generators.
Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
3k stars
62 watching
570 forks
Language: Jupyter Notebook
last commit: about 2 years ago
Linked from 1 awesome list
cvpr2021generative-adversarial-networkimage-translationpixel2style2pixelpsp-frameworkpsp-modelstyleganstylegan-encoder
amrzv/awesome-colab-notebooksRelated projects:
| Repository | Description | Stars |
|---|---|---|
 yunjey/stargan | Develops a unified generative model to translate images across multiple domains using a single network architecture. | 5,229 |
 clovaai/stargan-v2 | A Python implementation of an image-to-image translation model for generating diverse images across multiple domains. | 3,500 |
 orpatashnik/styleclip | This project provides an implementation of a method to manipulate images by driving the style with text. | 4,000 |
 nvlabs/stylegan | A deep learning framework implementing a generator architecture for generating images with controllable attributes and disentangled latent factors | 14,152 |
 phillipi/pix2pix | An implementation of an image-to-image translation algorithm using deep learning techniques | 10,163 |
 junyanz/pytorch-cyclegan-and-pix2pix | Image-to-image translation in PyTorch using cycle-consistent adversarial networks and generative adversarial networks. | 23,085 |
| junyanz/igan | Interactive image generation using Generative Adversarial Networks to satisfy user edits in real-time | 3,977 |
 nvidia/fastphotostyle | Transfers the style of a reference image to another image based on its content | 11,156 |
| nvlabs/stylegan2 | Improves upon the state-of-the-art architecture for generating high-quality images using a GAN-based approach | 10,991 |
| nvlabs/stylegan3 | An implementation of a generative adversarial network architecture designed to improve image synthesis and video generation capabilities | 6,438 |
 cysmith/neural-style-tf | An implementation of image style transfer using convolutional neural networks in TensorFlow. | 3,104 |
| nvidia/pix2pixhd | Generates photorealistic images from conditional inputs using deep neural networks | 6,667 |
 pbaylies/stylegan2 | Implementation of a generative adversarial network for generating images with conditional variations. | 315 |
| nvidia/vid2vid | A PyTorch implementation of a video-to-video translation method for generating photorealistic videos from semantic label maps or other input data. | 8,607 |
 tachibanayoshino/animegan | Generates anime-style images from real-world photos using a deep learning model. | 4,494 |