Deep-Exemplar-based-Video-Colorization vs Few-Shot-Patch-Based-Training

Deep-Exemplar-based-Video-Colorization

The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization". (by zhangmozhe)

Source Code

arxiv.org

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Few-Shot-Patch-Based-Training

The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training (by OndrejTexler)

Deep Learning generative-adversarial-network style-transfer Gan image-generation image-to-image-translation Pytorch

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Deep-Exemplar-based-Video-Colorization		Few-Shot-Patch-Based-Training
	Project
4	Mentions	5
317	Stars	603
-	Growth	-
0.0	Activity	1.8
over 1 year ago	Latest Commit	about 3 years ago
Python	Language	C++
MIT License	License	-

The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

Deep-Exemplar-based-Video-Colorization

Posts with mentions or reviews of Deep-Exemplar-based-Video-Colorization. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-19.

[Machine Learning] [R] colorisation vidéo basée sur un exemple
1 project | /r/enfrancais | 3 May 2023
Show HN: I made a new AI colorizer
2 projects | news.ycombinator.com | 19 Oct 2022

Thanks! yeah, a few people have used the tool to colorize videos, frame by frame. For example Lord of the flies (1963): https://www.dailymotion.com/video/x8eiho4
Although, I'd recommend colorizing a few key frames and then use https://github.com/zhangmozhe/Deep-Exemplar-based-Video-Colo...
Cool, yeah, my next model will be better for comic books. You can also use the 'Surprise Me' button in the editor and you'll get some decent results.
1929 video from Shanghai, upscaled to 4K color using AI
1 project | /r/videos | 7 Oct 2021
[P] Colorizing the legacy videos with attention mechanism
1 project | /r/MachineLearning | 8 Apr 2021

We recently released the code for our paper "Deep Exemplar-based Video Colorization". The code along with the Colab demo is available at: https://github.com/zhangmozhe/Deep-Exemplar-based-Video-Colorization. Welcome to have a try.

Few-Shot-Patch-Based-Training

Posts with mentions or reviews of Few-Shot-Patch-Based-Training. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-27.

To the people who use SD to apply different styles to videos
1 project | /r/StableDiffusion | 12 Apr 2023

and here is the Code and weights: https://github.com/OndrejTexler/Few-Shot-Patch-Based-Training
Another CN test! Sorry for the swedish!
1 project | /r/StableDiffusion | 2 Mar 2023

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"
3 projects | /r/StableDiffusion | 27 Jan 2023
A quick demonstration of how I accomplished this animation.
1 project | /r/StableDiffusion | 14 Dec 2022

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
1 project | /r/MachineLearning | 2 May 2021

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

What are some alternatives?

When comparing Deep-Exemplar-based-Video-Colorization and Few-Shot-Patch-Based-Training you can also consider the following projects:

CycleGAN - Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

mmagic - OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.

Deep-Image-Analogy - The source code of 'Visual Attribute Transfer through Deep Image Analogy'.

OASIS - Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)

BlendGAN - Official PyTorch implementation of "BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation" (NeurIPS 2021)

TraVeLGAN_with_perceptual_loss - The implementation code of Thesis project which entitled "Photo-to-Emoji Transformation with TraVeLGAN and Perceptual Loss" as a final project in my master study.

ganspace - Discovering Interpretable GAN Controls [NeurIPS 2020]

HyperGAN - Composable GAN framework with api and user interface

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

ArtGAN - ArtGAN + WikiArt: This work presents a series of new approaches to improve GAN for conditional image synthesis and we name the proposed model as “ArtGAN”.

image_edit - Demos of neural image editing