Background

[Audio] Welcome to our presentation. We're excited to showcase Diffusion-MVP, our innovative method for profitable NFT image generation..

[Audio] NFTs are not just transforming the art and digital collectibles landscape, but they also possess unique financial and social attributes. With the evolving NFT market, there's a growing need for advanced NFT generation tools to generate more profitable NFTs..

[Audio] To generate profitable NFT images, we must overcome the challenges of acquiring a large-scale high-quality NFT dataset, mining market value information, and incorporating market value into generation. To address these challenges, we've introduced a novel solutions for profitable NFT image generation, called Diffusion-MVP..

[Audio] To address the challenge of the 'Lack of NFT dataset,' we have introduced the largest high-quality NFT dataset to date, NFT-1.5M. It was achieved by carefully filtering out irrelevant data and duplicates..

[Audio] To mining market value-related features, we employ Rarity-based Market Value Rewards. This approach overcomes the limitations of traditional methods relying on NFT transaction prices, which can be influenced by market noise and lead to inaccurate value predictions..

[Audio] To incorporate market value into the generation process, we've designed a Multiple Visual-Policy Guided reinforcement learning framework. User-input prompts are enhanced by our NFT prompt adaptor, introducing more valuable and visually appealing NFT attributes. The subsequent diffusion-based NFT image generator then creates images enriched with these high-value attributes..

[Audio] We've evaluated the generated images from four key aspects: Market Value, Aesthetics, NFT Style, and Text-Image Similarity. Experimental results show that Diffusion-MVP outperform existing methods, such as Stable Diffusion and DALL·E 2, in both objective metrics and user studies..

[Audio] Our Diffusion-MVP generates images that encompass finer, high-value attributes such as 'Cyan Background' and 'Driller Forehead,' resulting in a more vivid and attractive composition..

[Audio] Thank you for your attention. We welcome you to explore our paper..