Nextech3D.ai Files Multiple Generative AI Patents Covering Breakthrough 3D-Model Creation For Global $5.5 Trillion Dollar Ecommerce Industry

The Company is filing multiple pivotal patents for its game-changing Generative AI

TORONTO, ON / ACCESSWIRE / March 21, 2023 / Nextech3D.AI (formally "Nextech AR Solutions Corp" or the "Company") (OTCQX:NEXCF)(CSE:NTAR)(FSE:EP2), a Generative AI-Powered 3D model supplier for Amazon, P&G, Kohls and other major e-commerce retailers is pleased to announce the Company has filed it's second in a series of patents for converting 2D photos to 3D models. These patents position the Company as a leader in the rapidly growing 2D photo -3D models transformation happening in the $5.5 trillion dollar global ecommerce industry estimated to be worth $100 billion. Nextech3D.ai is using its newly developed AI to power its diversified 3D/AR businesses including Arway.ai, (OTC: ARWYF / CSE ARWY) Toggle3D.ai and Nextech3D.ai.

Patent filing title: "Fixed-point diffusion for robust 2D to 3D conversion and other applications."

A major contributor to Nextech3D.ai's 3D modeling success and ability to meet market demand is its Generative Artificial Intelligence (AI). This patent builds on the Company's previous patents filed. 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. 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.

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."

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 "part 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+ 3D objects and more than 2.2M 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 51K models of varying quality.