This paper presents the first end-to-end network for exemplar-based video colorization. The
main challenge is to achieve temporal consistency while remaining faithful to the reference …

Traditional approaches for color propagation in videos rely on some form of matching
between consecutive video frames. Using appearance descriptors, colors are then …

Video colorization represents a compelling domain within the field of Computer Vision. The
traditional approach in this field relies on Convolutional Neural Networks (CNNs) to extract …

Video colorization is a challenging task that involves inferring plausible and temporally
consistent colors for grayscale frames. In this paper, we present ColorDiffuser, an adaptation …

Video colorization task has recently attracted wide attention. Recent methods mainly work
on the temporal consistency in adjacent frames or frames with small interval. However, it still …

This paper reviews published research in the field of computer-aided colorization
technology. We argue that the colorization task originates from computer graphics, prospers …

In this work, we present a method for automatic colorization of grayscale videos. The core of
the method is a Generative Adversarial Network that is trained and tested on sequences of …

Exemplar-based video colorization is an essential technique for applications like old movie
restoration. Although recent methods perform well in still scenes or scenes with regular …

Video colorization poses challenging tasks, necessitating structural stability, continuity, and
details control in the colors produced. In this paper, based on a pretrained text-to-image …

Video colorization aims to add color to grayscale or monochrome videos. Although existing
methods have achieved substantial and noteworthy results in the field of image colorization …