“NER: Physical-Virtual Multimodal Generative NFT with a Rarity Model” presented by Zhang, Fan, Ma, Fei and Wu

Symposium:

• ISEA2023: 28th International Symposium on Electronic Art
• More presentations from ISEA2023:  

• NFT – Blockchains (full papers)

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

• Symbiotic Organizations

• Kang Zhang
• Mingming Fan
• Xinyu Ma
• Danlu Fei
• Ziwei Wu

Venue(s):

• Forum des Images, Paris, France

• Nowadays, NFTs are increasingly emerging into public view. It is necessary to consider NFT as a sustainable trading model for media arts with the audience interaction as the symbiosis community.

  This paper presents a design architecture of a Multimodal NFT with generative patterns triggered by sensors. By designing various 3D mesh attributes, such as eyes pattern and fur color 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.

Video:

• Nowadays, NFTs are increasingly emerging into public view. It is necessary to consider NFT as a sustainable trading model for media arts with the audience interaction as the symbiosis community.

  This paper presents a design architecture of a Multimodal NFT with generative patterns triggered by sensors. By designing various 3D mesh attributes, such as eyes pattern and fur color 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.

Category:

• Paper