[HTML][HTML] Artificial intelligence in the creative industries: a review
N Anantrasirichai, D Bull - Artificial intelligence review, 2022 - Springer
This paper reviews the current state of the art in artificial intelligence (AI) technologies and
applications in the context of the creative industries. A brief background of AI, and …
applications in the context of the creative industries. A brief background of AI, and …
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 …
Image-to-image translation: Methods and applications
Image-to-image translation (I2I) aims to transfer images from a source domain to a target
domain while preserving the content representations. I2I has drawn increasing attention and …
domain while preserving the content representations. I2I has drawn increasing attention and …
Splicing vit features for semantic appearance transfer
We present a method for semantically transferring the visual appearance of one natural
image to another. Specifically, our goal is to generate an image in which objects in a source …
image to another. Specifically, our goal is to generate an image in which objects in a source …
Towards vivid and diverse image colorization with generative color prior
Colorization has attracted increasing interest in recent years. Classic reference-based
methods usually rely on external color images for plausible results. A large image database …
methods usually rely on external color images for plausible results. A large image database …
Deep learning for image colorization: Current and future prospects
Image colorization, as an essential problem in computer vision (CV), has attracted an
increasing amount of researchers attention in recent years, especially deep learning-based …
increasing amount of researchers attention in recent years, especially deep learning-based …
[HTML][HTML] Image colorization: A survey and dataset
Image colorization estimates RGB colors for grayscale images or video frames to improve
their aesthetic and perceptual quality. Over the last decade, deep learning techniques for …
their aesthetic and perceptual quality. Over the last decade, deep learning techniques for …
Dualast: Dual style-learning networks for artistic style transfer
Artistic style transfer is an image editing task that aims at repainting everyday photographs
with learned artistic styles. Existing methods learn styles from either a single style example …
with learned artistic styles. Existing methods learn styles from either a single style example …
Unicolor: A unified framework for multi-modal colorization with transformer
Z Huang, N Zhao, J Liao - ACM Transactions on Graphics (TOG), 2022 - dl.acm.org
We propose the first unified framework UniColor to support colorization in multiple
modalities, including both unconditional and conditional ones, such as stroke, exemplar …
modalities, including both unconditional and conditional ones, such as stroke, exemplar …
Colorformer: Image colorization via color memory assisted hybrid-attention transformer
Automatic image colorization is a challenging task that attracts a lot of research interest.
Previous methods employing deep neural networks have produced impressive results …
Previous methods employing deep neural networks have produced impressive results …