Few-Shot-Patch-Based-Training
BlendGAN
| Few-Shot-Patch-Based-Training | BlendGAN | |
|---|---|---|
| 5 | 1 | |
| 603 | 498 | |
| - | - | |
| 1.8 | 0.0 | |
| about 3 years ago | over 1 year ago | |
| C++ | Python | |
| - | MIT License |
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.
Few-Shot-Patch-Based-Training
-
To the people who use SD to apply different styles to videos
and here is the Code and weights: https://github.com/OndrejTexler/Few-Shot-Patch-Based-Training
-
Another CN test! Sorry for the swedish!
PS: https://github.com/OndrejTexler/Few-Shot-Patch-Based-Training in case you havent taken a look, works like wonders.
- InstructPix2Pix Video: "Turn the wave into trash"
-
A quick demonstration of how I accomplished this animation.
Then why did you limit yourself in exactly the ways I described, by using the appropriate tools meant for video? Because it looked like shit until you pulled out ebsynth, right? Try this. It'll look even better and you won't have to deal with janky manual keyframe interpolation. That's the difference the right tool makes.
-
[R] Few-Shot Patch-Based Training (Siggraph 2020) - Dr. Ondřej Texler - Link to free zoom lecture by the author in comments
Interactive Video Stylization Using Few-Shot Patch-Based Training (Siggraph 2020) Project page: https://ondrejtexler.github.io/patch-based_training/index.html Git: https://github.com/OndrejTexler/Few-Shot-Patch-Based-Training
BlendGAN
-
[R] BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation
github: https://github.com/onion-liu/BlendGAN
What are some alternatives?
Deep-Exemplar-based-Video-Colorization - The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".
PaddleGAN - PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.
iSeeBetter - iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
Styleformer - A Neural Language Style Transfer framework to transfer natural language text smoothly between fine-grained language styles like formal/casual, active/passive, and many more. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.
Deep-Image-Analogy - The source code of 'Visual Attribute Transfer through Deep Image Analogy'.
cycle-gan-pytorch - This repository contains an implementation of the Cylce-GAN architecture for style transfer along with instructions to train on an own dataset.
ganspace - Discovering Interpretable GAN Controls [NeurIPS 2020]
image_edit - Demos of neural image editing
pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
pix2pix - Image-to-image translation with conditional adversarial nets