LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "text image" as a keyword



Sentiment analysis of multimodal twitter data

Sign Up to like & get
recommendations! Published in 2019 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-019-7390-1

Abstract: Text-driven sentiment analysis has been widely studied in the past decade, on both random and benchmark textual Twitter datasets. Few pertinent studies have also reported visual analysis of images to predict sentiment, but much of… read more here.

Keywords: analysis; text image; sentiment; twitter ... See more keywords

Multimodal diffusion framework for collaborative text image audio generation and applications

Sign Up to like & get
recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-05794-4

Abstract: This paper presents a novel framework for collaborative generation across text, image, and audio modalities using an enhanced diffusion model architecture. We introduce a Hierarchical Cross-modal Alignment Network that establishes unified representations while preserving modality-specific… read more here.

Keywords: diffusion; generation; text image; framework collaborative ... See more keywords

Using artificial intelligence in craft education: crafting with text-to-image generative models

Sign Up to like & get
recommendations! Published in 2023 at "Digital Creativity"

DOI: 10.1080/14626268.2023.2174557

Abstract: ABSTRACT Artificial intelligence (AI) and the automation of creative work have received little attention in craft education. This study aimed to address this gap by exploring Finnish pre-service craft teachers’ and teacher educators’ (N = 15) insights… read more here.

Keywords: craft; image generative; artificial intelligence; text image ... See more keywords

Designing with words: exploring the integration of text-to-image models in industrial design

Sign Up to like & get
recommendations! Published in 2024 at "Digital Creativity"

DOI: 10.1080/14626268.2024.2411223

Abstract: ABSTRACT This study investigates the effectiveness of Text-to-image (T2I) models in assisting industrial designers with the visualization of product concepts. Using action research and a reflection-in-action, this research conducts a series of experiments utilizing Stable… read more here.

Keywords: text image; t2i models; models industrial; industrial design ... See more keywords

Critical Evaluation of Generative Text-to-Image AI Models in Plastic Surgery: Balancing Promise and Precision

Sign Up to like & get
recommendations! Published in 2025 at "Aesthetic Surgery Journal"

DOI: 10.1093/asj/sjaf098

Abstract: The integration of generative text-to-image artificial intelligence (AI) models in plastic surgery presents both opportunities and challenges for clinical practice. This letter examines the recent work by Trabilsy et al on AI representation of diversity… read more here.

Keywords: surgery; text image; plastic surgery; generative text ... See more keywords

Query is GAN: Scene Retrieval With Attentional Text-to-Image Generative Adversarial Network

Sign Up to like & get
recommendations! Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2947409

Abstract: Scene retrieval from input descriptions has been one of the most important applications with the increasing number of videos on the Web. However, this is still a challenging task since semantic gaps between features of… read more here.

Keywords: generative adversarial; scene retrieval; image; image generative ... See more keywords

Blind Text Image Deblurring Algorithm Based on Multi-Scale Fusion and Sparse Priors

Sign Up to like & get
recommendations! Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3245150

Abstract: The goal of blind text image deblurring is to obtain a clean text image from the given blurry text image without knowing the blur kernel. Sparsity-based methods have been shown their effectiveness in various blind… read more here.

Keywords: blur kernel; image deblurring; blind text; text image ... See more keywords
Photo from wikipedia

Enhanced Text-to-Image Synthesis With Self-Supervision

Sign Up to like & get
recommendations! Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3268869

Abstract: The task of Text-to-Image synthesis is a difficult challenge, especially when dealing with low-data regimes, where the number of training samples is limited. In order to address this challenge, the Self-Supervision Text-to-Image Generative Adversarial Networks… read more here.

Keywords: text image; self supervision; image; image synthesis ... See more keywords

Optimizing Prompts Using In-Context Few-Shot Learning for Text-to-Image Generative Models

Sign Up to like & get
recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2023.3348778

Abstract: Recently, various text-to-image generative models have been released, demonstrating their ability to generate high-quality synthesized images from text prompts. Despite these advancements, determining the appropriate text prompts to obtain desired images remains challenging. The quality… read more here.

Keywords: generative models; synthesized images; image; text image ... See more keywords

A Systematic Review of Open Datasets Used in Text-to-Image (T2I) Gen AI Model Safety

Sign Up to like & get
recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3539933

Abstract: Novel research aimed at text-to-image (T2I) generative AI safety often relies on publicly available datasets for training and evaluation, making the quality and composition of these datasets crucial. This paper presents a comprehensive review of… read more here.

Keywords: text image; model safety; datasets used; image t2i ... See more keywords

A Generation Algorithm for “Text to Image” Based on Multi-Channel Attention

Sign Up to like & get
recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3596894

Abstract: Research on text-to-image has gained significant attention. However, existing methods primarily rely on upsampling convolution operations for feature extraction during the initial image generation stage. This approach has inherent limitations, often leading to the loss… read more here.

Keywords: algorithm text; image; text image; attention ... See more keywords