SVG Autoencoder - Uses a frozen representation encoder with a residual branch to compensate the information loss and a learned convolutional decoder to transfer the SVG latent space to pixel space.
Abstract: This study investigates the application of the Variational Autoencoder (VAE) model for classifying lung images obtained from chest X-ray data, with a primary focus on utilizing the encoder ...
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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