Add to ORKGWe generate synthetic images with the "Stable Diffusion" image generation model using the Wordnet taxonomy and the definitions of concepts it contains. This synthetic image database can be used as training data for data augmentation in machine learning applications, and it is used to investigate the capabilities of the Stable Diffusion model. Analyses show that Stable Diffusion can produce correct images for a large number of concepts, but also a large variety of different representations. The results show differences depending on the test concepts considered and problems with very specific concepts. These evaluations were performed using a vision transformer model for image classification
Detecting fake images is becoming a major goal of computer vision. This need is becoming more and mo...
Recent breakthroughs in synthetic data generation approaches made it possible to produce highly phot...
AI image generation has grown significantly more accessible over the past few months and is expandin...
Recent large-scale image generation models such as Stable Diffusion have exhibited an impressive abi...
International audienceRecent image generation models such as Stable Diffusion have exhibited an impr...
Generating high-quality labeled image datasets is crucial for training accurate and robust machine l...
While hundreds of artificial intelligence (AI) algorithms are now approved or cleared by the US Food...
Preparing training data for deep vision models is a labor-intensive task. To address this, generativ...
Text-conditioned image generation models have recently shown immense qualitative success using denoi...
Synthetic data generation has become an emerging tool to help improve the adversarial robustness in ...
Recent advances in diffusion models have led to a quantum leap in the quality of generative visual c...
In this study, we introduce a novel pipeline for synthetic data generation of textured surfaces, mot...
Machine Learning is a fast growing area that revolutionizes computer programs by providing systems w...
Generative models are becoming popular for the synthesis of medical images. Recently, neural diffusi...
Realistic synthetic image data rendered from 3D models can be used to augment image sets and train i...
Detecting fake images is becoming a major goal of computer vision. This need is becoming more and mo...
Recent breakthroughs in synthetic data generation approaches made it possible to produce highly phot...
AI image generation has grown significantly more accessible over the past few months and is expandin...
Recent large-scale image generation models such as Stable Diffusion have exhibited an impressive abi...
International audienceRecent image generation models such as Stable Diffusion have exhibited an impr...
Generating high-quality labeled image datasets is crucial for training accurate and robust machine l...
While hundreds of artificial intelligence (AI) algorithms are now approved or cleared by the US Food...
Preparing training data for deep vision models is a labor-intensive task. To address this, generativ...
Text-conditioned image generation models have recently shown immense qualitative success using denoi...
Synthetic data generation has become an emerging tool to help improve the adversarial robustness in ...
Recent advances in diffusion models have led to a quantum leap in the quality of generative visual c...
In this study, we introduce a novel pipeline for synthetic data generation of textured surfaces, mot...
Machine Learning is a fast growing area that revolutionizes computer programs by providing systems w...
Generative models are becoming popular for the synthesis of medical images. Recently, neural diffusi...
Realistic synthetic image data rendered from 3D models can be used to augment image sets and train i...
Detecting fake images is becoming a major goal of computer vision. This need is becoming more and mo...
Recent breakthroughs in synthetic data generation approaches made it possible to produce highly phot...
AI image generation has grown significantly more accessible over the past few months and is expandin...