As ChatGPT goes viral, generative AI (AIGC, aka AI-generated content) has made headlines
everywhere because of its ability to analyze and create text, images, and beyond. With such …

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 …

Abstract Machine learning (ML) has proven to be a powerful tool for utilizing the rapidly
increasing amounts of remote sensing data for environmental monitoring. Yet ML models …

Infrared images can distinguish targets from their backgrounds based on the radiation
difference, which works well in all-weather and all-day/night conditions. By contrast, visible …

In this letter, we present a conditional generative adversarial network-based model for real-
time underwater image enhancement. To supervise the adversarial training, we formulate an …

We present the Colorization Transformer, a novel approach for diverse high fidelity image
colorization based on self-attention. Given a grayscale image, the colorization proceeds in …

We consider image transformation problems, where an input image is transformed into an
output image. Recent methods for such problems typically train feed-forward convolutional …

Given a grayscale photograph as input, this paper attacks the problem of hallucinating a
plausible color version of the photograph. This problem is clearly underconstrained, so …

We propose a deep learning approach for user-guided image colorization. The system
directly maps a grayscale image, along with sparse, local user" hints" to an output …

Deep learning has been proven to yield reliably generalizable solutions to numerous
classification and decision tasks. Here, we demonstrate for the first time to our knowledge …