This is the Windows app named NÜWA - Pytorch whose latest release can be downloaded as 0.7.8.zip. It can be run online in the free hosting provider OnWorks for workstations.
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NÜWA - Pytorch
DESCRIPTION
Implementation of NÜWA, state of the art attention network for text-to-video synthesis, in Pytorch. It also contains an extension into video and audio generation, using a dual decoder approach. It seems as though a diffusion-based method has taken the new throne for SOTA. However, I will continue on with NUWA, extending it to use multi-headed codes + hierarchical causal transformer. I think that direction is untapped for improving on this line of work. In the paper, they also present a way to condition the video generation based on segmentation mask(s). You can easily do this as well, given you train a VQGanVAE on the sketches beforehand. Then, you will use NUWASketch instead of NUWA, which can accept the sketch VAE as a reference. This repository will also offer a variant of NUWA that can produce both video and audio. For now, the audio will need to be encoded manually.
Features
- Train the VAE
- Conditioning on Sketches
- Text to video and audio
- Te audio will need to be encoded manually
- This library will offer some utilities to make training easier
- This library depends on this vector quantization library
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/n-wa-pytorch.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
