Nextech3D.AI (CSE:NTAR, OTCQX:NEXCF) - formally Nextech AR Solutions Corp - said it has filed its second in a series of patents for converting 2D photos to 3D models.
This second patent builds on the company’s previously filed patents. Earlier this month, a patent was filed titled 'Generative AI for 3D Model Creation from 2D Photos using Stable Diffusion with Deformable Template Conditioning', and late last year the company filed a patent for creating complex 3D models by parts.
In a statement, Nima Sarshar, chief technology officer of Nextech3D.AI commented: "With the development of our fixed-point diffusion models, we are excited to offer a new reliable and innovative way to generate 3D models at scale from 2D reference photos. Our new patent application highlights our commitment to driving innovation in the field of generative AI, and we look forward to continued success and advancement."
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Nextech is using its newly developed AI to power its diversified 3D/AR businesses including ARWay, Toggle3D.ai and Nextech3D.AI. A major contributor to Nextech3D.AI's 3D modeling success and ability to meet market demand is its Generative Artificial Intelligence (AI).
The game-changing AI technology underpinning these patents places the company in a leadership position in the 3D modeling for eCommerce space and positions the company to generate significant revenue acceleration and cash flow in 2023 and beyond.
Building on the company’s previous patents, Nextech3D.AI will be using fixed-point diffusion for learning to construct 3D models from 2D reference photos, starting with simpler objects, and individual parts, before expanding to more complex, multi-part objects.
Diffusion models prescribe a solution for creating 3D models from 2D reference photos, either as a whole, or part-by-part by evolving differentiable, deformable templates to convert into 3D parts, conditioned on one or more reference photos of the part.
As previously announced, over the last several years Nextech3D.AI has been building tens of thousands of high-quality, fully textured, photo-realistic 3D assets, with hundreds of thousands of individual parts. These parts get harvested into Nextech3D.AI’s 'parts library', synthetically rendering them from random views, and using them to train new diffusion models that are able to reconstruct 3D mesh parts from reference photos.
The company’s first clean dataset with 70,000-plus 3D objects and more than 2.2 million synthetically rendered reference photos are now ready for training. This is still a tiny portion of all the parts and assets in its model library, and yet, it is already larger than the largest publicly available 3D dataset called ShapeNet, with its 51,000 models of varying quality.
With a new wave of generative AI systems, the world is entering a period of generational change where entire industries have the potential to be transformed. Due to its advances. Nextech3D.AI believes it is perfectly positioned to be the supplier of choice for the global $5.5 trillion eCommerce industry as it pivots from 2D-3D models, which is estimated to be worth $100 billion.
Contact the author at jon.hopkins@proactiveinvestors.com