Development of an AI-Powered NFT Merging and Generative Platform for Creative Community Engagement
The platform must enable users to select two NFTs, merge them through an advanced style transfer process, and generate multiple, diverse visual outputs. It should support experimentation, customization, and high-quality synthesis, culminating in community voting features.
Style transfer algorithms (e.g., neural style transfer techniques), Generative adversarial networks (GANs) as an alternative approach, Deep learning frameworks supporting computer vision tasks, such as TensorFlow or PyTorch...