Text-conditioned image editing has emerged as a powerful tool for editin...
Human-AI collaborative writing has been greatly facilitated with the hel...
Text-to-image diffusion models have attracted considerable interest due ...
Recently, large language models (LLMs) have made significant advancement...
Magnetic resonance imaging (MRI)-based synthetic computed tomography (sC...
Breast cancer is one of the most common cancers among women worldwide, w...
Human motion generation aims to produce plausible human motion sequences...
Multiparametric magnetic resonance imaging (mpMRI) has demonstrated prom...
Colon polyps are considered important precursors for colorectal cancer.
...
Skin cancer is a prevalent and potentially fatal disease that requires
a...
In this paper, we aimed to provide a review and tutorial for researchers...
Educational technology innovations that have been developed based on lar...
With generative models proliferating at a rapid rate, there is a growing...
Large-scale text-to-image diffusion models have made amazing advances.
H...
We introduce a new method for diverse foreground generation with explici...
Knowledge distillation aims to transfer useful information from a teache...
3D-aware generative models have shown that the introduction of 3D inform...
We propose a new approach for high resolution semantic image synthesis. ...
Malicious application of deepfakes (i.e., technologies can generate targ...
We present MixNMatch, a conditional generative model that learns to
dise...
We present MixNMatch, a conditional generative model that learns to
dise...