Omkar2118/datasets huggingface dataset:
StyleBench

To comprehensively evaluate the effectiveness and generalization ability of style transfer methods, we build StyleBench that covers 73 distinct styles, ranging from paintings, flat illustrations, 3D rendering to sculptures with varying materials. For each style, we collect 5-7 distinct images with variations. 
In total, our StyleBench contains 490 images across diverse styles.

Introducing paper: StyleShot: A Snapshot on Any Style
StyleGallery

We construct a style-balanced dataset, called StyleGallery, covering several open source datasets. Specifically, StyleGallery includes JourneyDB, a dataset comprising a broad spectrum of diverse styles derived from MidJourney, and WIKIART, with extensive fine-grained painting styles, such as pointillism and ink drawing, and a subset of stylized images from LAION-Aesthetics.

Introducing paper: StyleShot: A Snapshot on Any Style
Deep Neural Network Training Script incl. Data for HCCI Low-Temperature Combustion

Release for uploading scripts and data to Zenodo
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Deep Neural Network Training Script incl. Data for HCCI Low-Temperature Combustion

Matlab-based script

Postprocessed full dataset available (.mat file) 

Git repository: https://doi.org/10.5281/zenodo.10078169

Introducing paper: Introducing a Deep Neural Network-based Model Predictive Control Framework for Rapid Controller Implementation