markmohr / awesome-image-colorization Goto Github PK

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hello, I have found this is the paper's code https://github.com/xuzhongyou/Colorization

See L-CAD: Language-based Colorization with Any-level Descriptions https://arxiv.org/abs/2305.15217

Excuse me,I wanna try to use the model of DeepRemaster,and I download the model using the sh file through gitbash.After that,I get a model with postfix tar.I am trying to unzip the file and always stoped by file format corruption. Could you tell me how to do with this situation?Maybe you can tell me another way to get this model if possible.Thank you very much!

out-of-date

Excuse me,I wanna try to use the model of DeepRemaster,and I download the model using the sh file through gitbash.After that,I get a model with postfix tar.I am trying to unzip the file and always stoped by file format corruption. Could you tell me how to do with this situation?Maybe you can tell me another way to get this model if possible.Thank you very much!

Thanks for your awesome work!

I recommend an official project link for the CVPR'20 paper named "Reference-Based Sketch Image Colorization
using Augmented-Self Reference and Dense Semantic Correspondence" as below:

https://ssuhan.github.io/RSC_CVPR20/

Thanks in advance!

I saw this being presented at ICIP 2019 in Taipei, then today I was searching for it and found this project, but ManGan was not there. After a bit more of digging I found it, so I leave the link down below in case you want to include it.

Code: https://github.com/felipelodur/ManGAN
Paper: https://ieeexplore.ieee.org/document/8803667

I would like to introduce a automatic colorization research named BigColor accepted in ECCV 2022.
The github ULR is "https://github.com/KIMGEONUNG/BigColor"

Hi, could you please add our cvpr 2019 work: deep exemplar-based video colorization (https://arxiv.org/abs/1906.09909). We've recently released the training code: https://github.com/zhangmozhe/video-colorization.

Thanks!

We would like to introduce our automatic colorization work accepted by ICCV 2023, called DDColor.

DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders

Paper: https://arxiv.org/abs/2212.11613
Code: https://github.com/piddnad/DDColor
Demo: https://www.modelscope.cn/models/damo/cv_ddcolor_image-colorization/summary

Appreciate your efforts. This list of colorization is AWESOME!

Hey guys,

If anyone is interested, I made a discord server dedicated to trying to figure out new workflows for coloring manga, if anybody is interested feel free to join here:

https://discord.gg/xF4ZMnKsAG

First of all, thanks for the collection. It really helped me during my Ph.D. research!
Second, I would like to introduce two of our works:

ACCV 2022
Paper: https://openaccess.thecvf.com/content/ACCV2022/papers/Camilo_Super-attention_for_exemplar-based_image_colorization_ACCV_2022_paper.pdf
Code: https://github.com/hernan0930/Super-attention-for-exemplar-based-image-colorization

CVPR 2023 Workshops
Paper: https://openaccess.thecvf.com/content/CVPR2023W/CVFAD/papers/Carrillo_Diffusart_Enhancing_Line_Art_Colorization_With_Conditional_Diffusion_Models_CVPRW_2023_paper.pdf
Code: https://github.com/hernan0930/Diffusart-CVPRW

Best regards!

You may want to check out this page and its related software called Colorciel:
http://www.fabienpierre.fr/softwares.html