Abstract: Deploying deep neural networks on resourceconstrained edge devices remains a major challenge due to their high memory, storage, and computational demands. This paper introduces a model ...
This repository provides an implementation of the Variational Lossy Autoencoder (VLAE) for the MNIST dataset, featuring a conditional prior. The project explores lossy compression and generative ...
Abstract: Edge computing, an emerging paradigm, utilizes decentralized edge nodes to offer low-latency, high-quality network services. Quality of Service (QoS) is a crucial metric to measure network ...
Important Note: This repository implements SVG-T2I, a text-to-image diffusion framework that performs visual generation directly in Visual Foundation Model (VFM) representation space, rather than ...
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