Image captioning, also called report generation in medical field, aims to describe visual
content of images in human language, which requires to model semantic relationship …

Class imbalance (CI) in classification problems arises when the number of observations
belonging to one class is lower than the other. Ensemble learning combines multiple models …

Human evaluation is critical for validating the performance of text-to-image generative
models, as this highly cognitive process requires deep comprehension of text and images …

Diffusion models (DMs) have shown great potential for high-quality image synthesis.
However, when it comes to producing images with complex scenes, how to properly …

Diffusion models have gained increasing attention for their impressive generation abilities
but currently struggle with rendering accurate and coherent text. To address this issue, we …

This paper proposes a method for generating images of customized objects specified by
users. The method is based on a general framework that bypasses the lengthy optimization …

We propose a new framework for conditional image synthesis from semantic layouts of any
precision levels, ranging from pure text to a 2D semantic canvas with precise shapes. More …

Temporal consistency is essential for video editing applications. Existing work on layered
representation of videos allows propagating edits consistently to each frame. These …

Image fusion aims to combine information from different source images to create a
comprehensively representative image. Existing fusion methods are typically helpless in …

GAN's are playing an important role in creating and generating a new set of data from the
previously available content. GAN models are impressive in the results for image and video …