Upland, the web3 virtual property platform, revealed 70% improvement in 3D asset production following integration with AI startup Kaedim. Using machine learning algorithms, Kaedim converts images into 3D models. Its service allows web3 platforms to accelerate asset production and reduce development time.
Kaedim helps Upland grow its digital assets
Uplands is a web3 platform powered by user-generated content (UGC). Players and creators can upload content to share and trade with other Upland users. Due to the demand for new content, a significant amount of 3D assets are constantly being uploaded, potentially causing bottlenecks. Assets that take a long time to be recreated digitally could harm the user experience and deter players.
To solve this problem, Upland turned to Kaedim to help reduce the production time of its totem lifeforms – a type of digital collectible found in its virtual world. Kaedim’s image-to-mesh technology improved production speed by 72%. In addition to easing the pressure on Upland when it comes to processing all this content, the benefits have been immediately felt by players who can enjoy new updates of new assets and features.
In his report on the collaboration, Kaedim summary: “In less than two weeks, we successfully delivered two original IP campaigns from start to production, covering map assets, structure ornaments, karts and wearables,” before concluding: “The integration of Kaedim’s AI-powered 3D asset generation led to a remarkable result. 7x production acceleration” for Upland assets.
Asset Acceleration for Virtual Worlds
To make virtual worlds more like real worlds, they must be infused with colors, textures, shapes, and objects that can recreate physical spaces and characters in 3D. In the case of Upland, the digital realm is enhanced through the use of 3D wearables, map assets, karts, and totems. Each of these objects is created using generative AI and then uploaded.
Using Kaedim’s AI generation algorithm, Upland was able to upload designs that matched its house style, ensuring that unique characters shared recognizable design traits, creating congruence between characters. To ensure assets look as realistic as possible, Kaedim has provided automatic texturing, which supports precise adjustments to the color palette.
As Kaedim explains: “AI mesh generation eliminates the need for modeling or sculpting from a sketch, saving hours typically spent creating a starting mesh for texturing. This significantly streamlines our artists’ workflow.
AI makes its mark on crypto
Kaedim’s use of artificial intelligence for 3D image generation and processing is one of the many ways AI and blockchain intersect. Crypto’s ability to support decentralized economies is ideal for aligning incentives between consumers and producers, as in the case of DePIN (decentralized physical infrastructure networks).
While projects like Render and io.net are making DePIN a reality, on the consumer side, Kaedim presents another practical application of AI. As machine learning is leveraged for image and multimedia generation, it has the ability to dramatically accelerate workflows, enabling rapid access to UGC in Web3 worlds and with a low computational cost.