NTIRE 2023 video colorization challenge
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 …
Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2023. The …
Pixel-aware stable diffusion for realistic image super-resolution and personalized stylization
Diffusion models have demonstrated impressive performance in various image generation,
editing, enhancement and translation tasks. In particular, the pre-trained text-to-image stable …
editing, enhancement and translation tasks. In particular, the pre-trained text-to-image stable …
Ddcolor: Towards photo-realistic image colorization via dual decoders
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 …
posedness. Directly training a deep neural network usually leads to incorrect semantic …
L-CoIns: Language-based colorization with instance awareness
Abstract Language-based colorization produces plausible colors consistent with the
language description provided by the user. Recent studies introduce additional annotation …
language description provided by the user. Recent studies introduce additional annotation …
Enhancing the Reliability of LiDAR Point Cloud Sampling: A Colorization and Super-Resolution Approach Based on LiDAR-Generated Images
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 …
robotics and autonomous systems, has seen significant advancements. These …
Diffusing Colors: Image Colorization with Text Guided Diffusion
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 …
challenges. Despite recent progress in employing large-scale datasets with deep neural …
L-cad: Language-based colorization with any-level descriptions using diffusion priors
Abstract Language-based colorization produces plausible and visually pleasing colors
under the guidance of user-friendly natural language descriptions. Previous methods …
under the guidance of user-friendly natural language descriptions. Previous methods …
Versatile vision foundation model for image and video colorization
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 …
This is an ill-posed problem and a wide variety of methods have been proposed, ranging …
SVCNet: Scribble-based video colorization network with temporal aggregation
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 …
aggregation called SVCNet. It can colorize monochrome videos based on different user …
SEMACOL: Semantic-enhanced multi-scale approach for text-guided grayscale image colorization
High-quality colorization of grayscale images using text descriptions presents a significant
challenge, especially in accurately coloring small objects. The existing methods have two …
challenge, especially in accurately coloring small objects. The existing methods have two …