DDColor can provide vivid and natural colorization for historical black-and-white photos.
🎨 DDColor
Official PyTorch implementation of ICCV 2023 Paper "DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders".
Xiaoyang Kang, Tao Yang, Wenqi Ouyang, Peiran Ren, Lingzhi Li, Xuansong Xie
DAMO Academy, Alibaba Group
🪄 DDColor can provide vivid and natural colorization for historical black and white old photos.
🎲 It can even colorize/recolor landscapes from anime games, transforming your animated scenery into a realistic real-life style! (Image source: Genshin Impact)
🔥 News
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[2024-01-28] Support inferencing via Hugging Face! Thanks @Niels for the suggestion and example code and @Skwara for fixing bug.
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[2024-01-18] Add Replicate demo and API! Thanks @Chenxi.
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[2023-12-13] Release the DDColor-tiny pre-trained model!
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[2023-09-07] Add the Model Zoo and release three pretrained models!
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[2023-05-15] Code release for training and inference!
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[2023-05-05] The online demo is available!
Online Demo
We provide online demos through ModelScope at .
Feel free to try them…
In this post, I’ll introduce how to run DDColor on Google Colab free-tier, T4.
Step 1. Clone the repo & install dependencies
First, we need to install dependencies and this step will take some time.
!git clone https://github.com/piddnad/DDColor
!cd DDColor
!pip install -r requirements.txt
!python setup.py develop
!pip install "modelscope[cv]" -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html
Step 2. Adding Colors to Image
import cv2
from modelscope.outputs import OutputKeys
from modelscope.pipelines import pipeline
from modelscope.utils.constant import Tasks
from google.colab.patches import cv2_imshow
img_colorization = pipeline(Tasks.image_colorization, model='damo/cv_ddcolor_image-colorization')
result = img_colorization('https://th.bing.com/th/id/R.bfff865861dc593b14fa030a9ac2aee5?rik=Of2Q7oLKe0r0fg&riu=http%3a%2f%2fstatic.guim.co.uk%2fsys-images%2fGuardian%2fPix%2fpictures%2f2013%2f2%2f18%2f1361186749737%2fblack-and-white-picture-o-005.jpg&ehk=zoDQaeRIcKRivy%2fXZH7lZa3ixweCv47WKzD8uJGwZgw%3d&risl=&pid=ImgRaw&r=0')
cv2.imwrite('result.png', result[OutputKeys.OUTPUT_IMG])
cv2_imshow(result[OutputKeys.OUTPUT_IMG])
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