Abstract: As a new method of training generative models, Generative Adversarial Net ... dataset show that our method improves the performance and robustness of Encoder-Decoder model applied in text ...

To refine a sequence-based generative model specifically for molecular de novo design ... the predictor network, the encoder network and the decoder network. The predictor and encoder are made up of ...

Abstract: We propose a deblurring method that integrates a combination of Generative Adversarial Networks (GANs) and encoder-decoder models ... thereby maximizing the efficacy of the model’s training ...

A Variational Autoencoder (VAE) is a generative model for generating videos and images. In a VAE, two main components are present: an encoder and a decoder. An encoder maps a video to a ...

In this article, we are going to see how we can remove noise from the image data using an encoder-decoder model. Having clear and processed images or videos is very important in any computer vision ...

Added BLEU evaluation metric and batch processing of images to produce batches of captions. Clone the Repository to preserve Directory Structure For flickr30k put results_20130124.token and Flickr30K ...