Diffusion models have demonstrated impressive performance in various image generation,
editing, enhancement and translation tasks. In particular, the pre-trained text-to-image stable …

Despite the existence of numerous colorization methods, several limitations still exist, such
as lack of user interaction, inflexibility in local colorization, unnatural color rendering …

We propose a framework for automatic colorization that allows for iterative editing and
modifications. The core of our framework lies in an imagination module: by understanding …

In recent years there has been an explosion of 2D vision models for numerous tasks such as
semantic segmentation style transfer or scene editing enabled by large-scale 2D image …

How to effectively explore spatial-temporal features is important for video colorization.
Instead of stacking multiple frames along the temporal dimension or recurrently propagating …

How to effectively explore the colors of exemplars and propagate them to colorize each
frame is vital for exemplar-based video colorization. In this article, we present a BiSTNet to …

In recent years, Light Detection and Ranging (LiDAR) technology, a critical sensor in
robotics and autonomous systems, has seen significant advancements. These …

Abstract Single-exposure High Dynamic Range Imaging (HDRI), as a typical ill-posed
problem, has attracted extensive attention from researchers. However, restoration in real …

In this paper, we formulate the colorization problem into a multinomial classification problem
and then apply a weighted function to classes. We propose a set of formulas to transform …

Image and video colorization are among the most common problems in image restoration.
This is an ill-posed problem and a wide variety of methods have been proposed, ranging …