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chiragHimself
Is there an existing issue for this?
Feature Description
A deep convolutional generative adversarial network implemented in PyTorch! The project is designed to generate realistic images from random noise using the power of deep learning.
Use Case
This project illustrates the building of foundational GANs , one of the most powerful utilities of deep learning using Generator and Advisor networks. The training data for this project is obtained from the CIFAR-10 open dataset. This model can successfully generate human like art using the training it had went through.
Benefits
It utilizes the power of neural networks and uses two parallel , powerful networks to build image artworks that are appealing and realistic . It can further be scaled to build models like stable diffusion.
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Priority
High
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