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Final Report
·2414 words·12 mins
Deep color transfer is an approach to extracting the histogram containing color information from the source and the reference image, then transferring the color between the image pair based on the histogram using a deep neural network.
Progress Report
·681 words·4 mins
Conceptual Review> Conceptual Review # The authors of Deep Color Transfer Using Histogram Analogy [1] proposed a deep learning framework that leverages color histogram analogy for color transfer between source and reference images.
Project Proposal
·787 words·4 mins
In this project, we are trying to build a deep learning model for color transfer between images.
Early color transfer approaches change colors of a source image based on the global color distribution of a reference image.