Search Results for author:
Found 1 papers, 0 papers with code
Recurrent Deconvolutional Generative Adversarial Networks with Application to Text Guided Video Generation
The RDN is a deconvolutional version of conventional recurrent neural network, which can well model the long-range temporal dependency of generated video frames and make good use of conditional information.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
