Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...
Abstract: This paper aims to design and analyze an image compression technique using an autoencoder-based deep learning model. Traditional image compression methods, such as JPEG and PNG, rely on ...
This is the official implementation of DynamicID, a framework that generates visually harmonious image featuring multiple individuals. Each person in the image can be specified through user-provided ...
This repository contains the code for the NeurIPS 2025 paper CHiQPM: Calibrated Hierarchical Interpretable Image Classification by Thomas Norrenbrock, Timo Kaiser, Sovan Biswas, Neslihan Kose, Ramesh ...
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