A novel neural network for preserving cultural heritage via 3D image reconstruction. ScienceDaily . Retrieved June 11, 2025 from www.sciencedaily.com / releases / 2024 / 10 / 241031131044.htm ...

In materials research, structural characterization often requires multiple complementary techniques to obtain a holistic morphological view of a synthesized material. Depending on the availability and ...

WebDataset files are regular .tar(.gz) files which can be streamed and used for DALLE-pytorch training. You Just need to provide the image (first comma separated argument) and caption (second comma ...

This article explains how to use a PyTorch neural autoencoder to find anomalies in a dataset. A good way to see where this article is headed is to take a look at the screenshot of a demo program in ...

In our last article, we demonstrated the implementation of Deep Autoencoder in image reconstruction. In this article, we will define a Convolutional Autoencoder in PyTorch and train it on the CIFAR-10 ...

Image reconstruction has many important applications especially in the medical field where the decoded and noise-free images are required from the available incomplete or noisy images. In this article ...