NER: Physical-Virtual Multimodal Generative NFT with a Rarity Model

Nowadays, NFTs are increasingly emerging into public view. It is necessary to consider NFT as a sustainable trading model for media arts with audience interaction as the symbiosis community. This article presents a design architecture of a Multimodal NFT with generative patterns triggered by sensors. By designing various 3D mesh attributes, such as eye patterns and fur colors of a robin bird, the authors generate a series of different NFT 3D artworks. We also demonstrate our experience with the generative system together with the rarity scoring model that could be used to evaluate the heterogeneity of NFT collections.