Z Chang, S Weng, P Zhang, Y Li… - Proceedings of the …, 2023 - openaccess.thecvf.com
Abstract Language-based colorization produces plausible colors consistent with the language description provided by the user. Recent studies introduce additional annotation …
S Ha, H Du, X Yu, J Song, T Westerlund - arXiv preprint arXiv:2409.11532, 2024 - arxiv.org
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 …
S Weng, P Zhang, Y Li, S Li… - Advances in Neural …, 2024 - proceedings.neurips.cc
Abstract Language-based colorization produces plausible and visually pleasing colors under the guidance of user-friendly natural language descriptions. Previous methods …
Despite the existence of numerous colorization methods, several limitations still exist, such as lack of user interaction, inflexibility in local colorization, unnatural color rendering …
Y Yang, J Pan, Z Peng, X Du, Z Tao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
How to effectively explore the colors of exemplars and propagate them to colorize each frame is vital for exemplar-based video colorization. In this paper, we present a BiSTNet to …
X Cong, Y Wu, Q Chen, C Lei - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
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 …
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 …
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 …