Abstract Neural Radiance Fields (NeRFs) offers a state-of-the-art quality in synthesizing
novel views of complex 3D scenes from a small subset of base images. For NeRFs to …

Generative models have been very successful over the years and have received significant
attention for synthetic data generation. As deep learning models are getting more and more …

Fundus photography is an essential examination for clinical and differential diagnosis of
fundus diseases. Recently, Ultra-Wide-angle Fundus (UWF) techniques, UWF Fluorescein …

We introduce a new approach towards generative quantum machine learning significantly
reducing the number of hyperparameters and report on a proof-of-principle experiment …

The generative adversarial network (GAN) is a highly effective member of the generative
models category and is extensively employed for generating realistic samples across …

Picture fuzzy C-means clustering is a new computational intelligence method that has more
significant potential advantages than fuzzy clustering in medical image interpretation …

The assumption of conditional independence among observed variables, primarily used in
the Variational Autoencoder (VAE) decoder modeling, has limitations when dealing with …

The Generative Adversarial Network (GAN) is a highly effective member of the generative
models' category and is widely utilized for generating realistic samples across various …

In the process of training a generative model, it becomes essential to measure the
discrepancy between two high-dimensional probability distributions: the generative …

This paper introduces the Interpoint Inception Distance (IID) as a new approach for
evaluating deep generative models. It is based on reducing the measurement of …