“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:
Session Title:
- NFT – Blockchains (full papers)
Presentation Title:
- NER: Physical-Virtual Multimodal Generative NFT with a Rarity Model
Presentation Subtheme:
- Symbiotic Organizations
Presenter(s):
Venue(s):
Abstract:
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.
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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.