Recent years have witnessed remarkable progress in image generation task where users
can create visually astonishing images with high-quality. However exsiting text-to-image …

Understanding the emotions in text and presenting them visually is a very challenging
problem that requires a deep understanding of natural language and high-quality image …

The influence of emotions on viewers is important for that it can judge the value of
multimedia materials. However, most of the existing image transfer algorithms do not take …

Generative AI models have shown impressive ability to produce images with text prompts,
which could benefit creativity in visual art creation and self-expression. However, it is …

Text-to-image synthesis is a challenging task that generates realistic images from a textual
description. The description contains limited information compared with the corresponding …

Existing text-to-image diffusion models struggle to synthesize realistic images given dense
captions, where each text prompt provides a detailed description for a specific image region …

Abstract This paper presents Instruct-Imagen a model that tackles heterogeneous image
generation tasks and generalizes across unseen tasks. We introduce multi-modal instruction …

Emotional color transfer aims to change the evoked emotion of a source image to that of a
target image by adjusting color distribution. Most of existing emotional color transfer …

Emotional intelligence plays an important role in human intelligence and is a recent
research hotspot. With the rapid development of deep learning techniques in recent years …

Recent years have witnessed the strong power of large text-to-image diffusion models for
the impressive generative capability to create high-fidelity images. However, it is very tricky …