Toggle3D.ai (TGGL.CN), a groundbreaking SaaS solution that utilizes generative AI to convert CAD files, apply stunning 4K texturing, and enable seamless publishing of high-quality 3D models, has unveiled a new AI photo segmentation algorithm for the Toggle3D web application.
This revolutionary AI-algo is poised to redefine the boundaries of image analysis and 3D texturing, unlocking a multitude of opportunities by attracting new customers. The new feature uses AI-powered tools to save time and money for individual users and design teams while adding efficiency and speed to the 3D texturing creative workflow. This is just one of the many in suite AI-powered tools being released on the platform for Platform Pro users.
How does the algo work? When users upload a 3D model and a 2D reference image, the AI segments the 2D reference into parts, which users can select directly in the platform. The technology then takes a patch from the part and searches that texture patch against the pre-existing material library, automating the matching process from the 2D photo to the 3D material.
Photo segmentation has traditionally been a labor-intensive and time consuming task requiring manual intervention. But with Toggle3D.ai’s new algo, the process is automated with accuracy and efficiency, real time performance, and seamless integration. This does represent a significant leap forward, hence why it is revolutionary.
The AI photo segmentation process is broken down into 3 key steps:
(1) Segmentation: The different regions in the input image are automatically segmented using state-of-the-art transformer-based AI model and returned to the user on the screen. The user can hover over each region and select the region of interest (ROI) for which matching textures are to be found.
(2) Categorization: The selected ROI is input to a classification model. To suggest relevant textures belonging to the correct category of texture (Wood, Fabric, Metal, etc), a pretrained AI model is used and fine-tuned on a dataset of masks of different textures.
(3) Texture Search: Once the texture category of the selected ROI is known, image features for the selected ROI are calculated using a pretrained image embedding model. The calculated features are then compared against the calculated features of the textures belonging to the category predicted during the categorization step and the top k matching results are returned.
At time of writing, the stock is up 3.13% for the day and the Company sits at a market cap of $28.34 million.
The stock began its spin-out strong, hitting all time record highs at $4.75. The stock then fell to levels below $1.00 hitting lows at $0.83. Going forward, it will be important for TGGL to regain the all important $1.00 zone. Then a breakout above $1.25 would get the stock out of the range. The stock is currently testing the highs of the day at $0.99. Investors should watch for the reaction here at the $1.00 zone.
