This is the Windows app named DCVGAN whose latest release can be downloaded as ICIP2019.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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DCVGAN
DESCRIPTION
This paper proposes a new GAN architecture for video generation with depth videos and color videos. The proposed model explicitly uses the information of depth in a video sequence as additional information for a GAN-based video generation scheme to make the model understands scene dynamics more accurately. The model uses pairs of color video and depth video for training and generates a video using the two steps. Generate the depth video to model the scene dynamics based on the geometrical information. To add appropriate color to the geometrical information of the scene, the domain translation from depth to color is performed for each image. This model has three networks in the generator. In addition, the model has two discriminators.
Features
- Generators
- Discriminators
- Requires Python3.7, PyTorch, FFmpeg, OpenCV, and GraphViz
- Facial expression datasets
- Hand gesture datasets
- Train, sample, and evaluate
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/dcvgan.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
