For the first time, we show high-fidelity generation of Liquid Argon Time Projection Chamber
(LArTPC-like) data using a generative neural network. This demonstrates that methods …

Proper inference of semantics is necessary for realistic image inpainting. Most image
inpainting methods use deep generative models, which require large image datasets to …

Generative Artificial Intelligence (AI) has pioneered new methodological paradigms in
architectural design, significantly expanding the innovative potential and efficiency of the …

The high-quality generation results of conditional diffusion models have brought about
concerns regarding privacy and copyright issues. As a possible technique for preventing the …

3D model reconstruction from a single image has achieved great progress with the recent
deep generative models. However, conventional reconstruction approaches with template …

There are many pre-trained deep learning-based face recognition models developed in the
literature, such as FaceNet, ArcFace, VGG-Face, and DeepFace. However, performing …

Based on recent advanced diffusion models, Text-to-image (T2I) generation models have
demonstrated their capabilities in generating diverse and high-quality images. However …

Text-to-image models are showcasing the impressive ability to create high-quality and
diverse generative images. Nevertheless, the transition from freehand sketches to complex …

Deposition of β-amyloid is a crucial biomarker to evaluate subjects with early-onset
dementia, often evaluated through Aβ-PET imaging. Aβ-PET is expensive and radiation …

In recent years, the field of generative artificial intelligence, particularly in the domain of
image generation, has exerted a profound influence on society. Despite the capability of AI …