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Related papers: Text-to-Image Generation: Perceptions and Realitie…

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Generative artificial intelligence (AI) is a widely popular technology that will have a profound impact on society and individuals. Less than a decade ago, it was thought that creative work would be among the last to be automated - yet…

Human-Computer Interaction · Computer Science 2023-08-21 Jonas Oppenlaender , Johanna Silvennoinen , Ville Paananen , Aku Visuri

Humankind is entering a novel creative era in which anybody can synthesize digital information using generative artificial intelligence (AI). Text-to-image generation, in particular, has become vastly popular and millions of practitioners…

Computers and Society · Computer Science 2024-09-04 Jonas Oppenlaender

Text-guided synthesis of images has made a giant leap towards becoming a mainstream phenomenon. With text-to-image generation systems, anybody can create digital images and artworks. This provokes the question of whether text-to-image…

Human-Computer Interaction · Computer Science 2022-11-01 Jonas Oppenlaender

Generative AI, i.e., the group of technologies that automatically generate visual or written content based on text prompts, has undergone a leap in complexity and become widely available within just a few years. Such technologies…

Human-Computer Interaction · Computer Science 2023-03-17 Nanna Inie , Jeanette Falk , Steven Tanimoto

Text-to-Image and Text-to-Video AI generation models are revolutionary technologies that use deep learning and natural language processing (NLP) techniques to create images and videos from textual descriptions. This paper investigates…

Computer Vision and Pattern Recognition · Computer Science 2023-11-14 Aditi Singh

This review surveys the state-of-the-art in text-to-image and image-to-image generation within the scope of generative AI. We provide a comparative analysis of three prominent architectures: Variational Autoencoders, Generative Adversarial…

Computer Vision and Pattern Recognition · Computer Science 2025-03-12 Zineb Sordo , Eric Chagnon , Daniela Ushizima

Advances in generative models have led to significant interest in image synthesis, demonstrating the ability to generate high-quality images for a diverse range of text prompts. Despite this progress, most studies ignore the presence of…

Artificial Intelligence · Computer Science 2024-07-02 Nila Masrourisaadat , Nazanin Sedaghatkish , Fatemeh Sarshartehrani , Edward A. Fox

This survey reviews the progress of diffusion models in generating images from text, ~\textit{i.e.} text-to-image diffusion models. As a self-contained work, this survey starts with a brief introduction of how diffusion models work for…

Computer Vision and Pattern Recognition · Computer Science 2024-11-11 Chenshuang Zhang , Chaoning Zhang , Mengchun Zhang , In So Kweon , Junmo Kim

Text-to-image diffusion models have achieved widespread popularity due to their unprecedented image generation capability. In particular, their ability to synthesize and modify human faces has spurred research into using generated face…

Computer Vision and Pattern Recognition · Computer Science 2023-12-22 Harrison Rosenberg , Shimaa Ahmed , Guruprasad V Ramesh , Ramya Korlakai Vinayak , Kassem Fawaz

Robust access to trustworthy information is a critical need for society with implications for knowledge production, public health education, and promoting informed citizenry in democratic societies. Generative AI technologies may enable new…

Information Retrieval · Computer Science 2024-07-17 Bhaskar Mitra , Henriette Cramer , Olya Gurevich

Generative AI has made significant progress in recent years, with text-guided content generation being the most practical as it facilitates interaction between human instructions and AI-generated content (AIGC). Thanks to advancements in…

Computer Vision and Pattern Recognition · Computer Science 2024-10-28 Chenghao Li , Chaoning Zhang , Joseph Cho , Atish Waghwase , Lik-Hang Lee , Francois Rameau , Yang Yang , Sung-Ho Bae , Choong Seon Hong

The evolution of artificial intelligence (AI) has catalyzed a transformation in digital content generation, with profound implications for cyber influence operations. This report delves into the potential and limitations of generative deep…

Computers and Society · Computer Science 2024-03-20 Melanie Mathys , Marco Willi , Michael Graber , Raphael Meier

One of the latest applications of Artificial Intelligence (AI) is to generate images from natural language descriptions. These generators are now becoming available and achieve impressive results that have been used for example in the front…

Computation and Language · Computer Science 2022-11-18 Pedro Reviriego , Elena Merino-Gómez

AI-based text-to-image generation has undergone a significant leap in the production of visually comprehensive and aesthetic imagery over the past year, to the point where differentiating between a man-made piece of art and an AI-generated…

Computers and Society · Computer Science 2023-06-06 Sarah K. Amer

Generative AI (GenAI) technologies possess unprecedented potential to reshape our world and our perception of reality. These technologies can amplify traditionally human-centered capabilities, such as creativity and complex problem-solving…

Social and Information Networks · Computer Science 2024-11-14 Emilio Ferrara

The recent progress of text-to-image generation has been recognized in architectural design. Our study is the first to investigate the potential of text-to-image generators in supporting creativity during the early stages of the…

Human-Computer Interaction · Computer Science 2024-01-17 Ville Paananen , Jonas Oppenlaender , Aku Visuri

When humans read a specific text, they often visualize the corresponding images, and we hope that computers can do the same. Text-to-image synthesis (T2I), which focuses on generating high-quality images from textual descriptions, has…

Computer Vision and Pattern Recognition · Computer Science 2024-11-26 Nonghai Zhang , Hao Tang

Recent advances in generative AI technologies like large language models raise both excitement and concerns about the future of human-AI co-creation in writing. To unpack people's attitude towards and experience with generative AI-powered…

Human-Computer Interaction · Computer Science 2024-03-19 Zhuoyan Li , Chen Liang , Jing Peng , Ming Yin

Recent years have seen an explosion of work and interest in text-to-3D shape generation. Much of the progress is driven by advances in 3D representations, large-scale pretraining and representation learning for text and image data enabling…

Computer Vision and Pattern Recognition · Computer Science 2024-03-21 Han-Hung Lee , Manolis Savva , Angel X. Chang

Generative AI has increasingly been used for artistic creation, but little work has explored how it shapes the experiential meaning of practice. We consider how generative AI might transform the embodied and tangible process of instant…

Human-Computer Interaction · Computer Science 2026-05-05 Michael Yin , Angela Chiang , Robert Xiao
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