CVGRApr 28, 2022

An Overview of Color Transfer and Style Transfer for Images and Videos

arXiv:2204.13339v315 citationsh-index: 14
Originality Synthesis-oriented
AI Analysis

It is an incremental review paper for researchers in computer vision and graphics, offering a synthesis of existing work.

This paper provides an overview of color transfer and style transfer techniques for images and videos, summarizing methods developed over the years without presenting new results or numbers.

Image or video appearance features (e.g., color, texture, tone, illumination, and so on) reflect one's visual perception and direct impression of an image or video. Given a source image (video) and a target image (video), the image (video) color transfer technique aims to process the color of the source image or video (note that the source image or video is also referred to the reference image or video in some literature) to make it look like that of the target image or video, i.e., transferring the appearance of the target image or video to that of the source image or video, which can thereby change one's perception of the source image or video. As an extension of color transfer, style transfer refers to rendering the content of a target image or video in the style of an artist with either a style sample or a set of images through a style transfer model. As an emerging field, the study of style transfer has attracted the attention of a large number of researchers. After decades of development, it has become a highly interdisciplinary research with a variety of artistic expression styles can be achieved. This paper provides an overview of color transfer and style transfer methods over the past years.

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