Few-Shot-Patch-Based-Training
iSeeBetter
| Few-Shot-Patch-Based-Training | iSeeBetter | |
|---|---|---|
| 5 | 3 | |
| 603 | 348 | |
| - | - | |
| 1.8 | 0.0 | |
| about 3 years ago | almost 2 years ago | |
| C++ | C++ | |
| - | 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
iSeeBetter
- Upscale from 1080P to 4K with resolve free version.
-
[D] Video Upscaling: Topaz Labs v.s. State of the Art
[Paper] https://arxiv.org/abs/2006.11161
-
Video Upscaling: Topaz Labs v.s. State of the Art
[GitHub] https://github.com/amanchadha/iSeeBetter
What are some alternatives?
Deep-Exemplar-based-Video-Colorization - The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".
TecoGAN - This repo contains source code and materials for the TEmporally COherent GAN SIGGRAPH project.
Deep-Image-Analogy - The source code of 'Visual Attribute Transfer through Deep Image Analogy'.
Fast-SRGAN - A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
BlendGAN - Official PyTorch implementation of "BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation" (NeurIPS 2021)
pytorch-gans - PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN
ganspace - Discovering Interpretable GAN Controls [NeurIPS 2020]
a-PyTorch-Tutorial-to-Super-Resolution - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs
ACNetGLSL - ACNet (Anime4KCPP Net) re-implemented in GLSL for real-time anime upscaling
image_edit - Demos of neural image editing
FUnIE-GAN - Fast underwater image enhancement for Improved Visual Perception. #TensorFlow #PyTorch #RAL2020