This paper reviews the video colorization challenge on the New Trends in Image
Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2023. The …

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

Image colorization is a challenging problem due to multi-modal uncertainty and high ill-
posedness. Directly training a deep neural network usually leads to incorrect semantic …

Abstract Language-based colorization produces plausible colors consistent with the
language description provided by the user. Recent studies introduce additional annotation …

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

The colorization of grayscale images is a complex and subjective task with significant
challenges. Despite recent progress in employing large-scale datasets with deep neural …

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 …

Abstract Language-based colorization produces plausible and visually pleasing colors
under the guidance of user-friendly natural language descriptions. Previous methods …

High-quality colorization of grayscale images using text descriptions presents a significant
challenge, especially in accurately coloring small objects. The existing methods have two …

In this paper, we propose a scribble-based video colorization network with temporal
aggregation called SVCNet. It can colorize monochrome videos based on different user …