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Saturday, Jun 15, 2024
Mugglehead Magazine
Alternative investment news based in Vancouver, B.C.

AI and Autonomy new algorithm adds efficiency to 3D texturing

This technology streamlines the texturing workflow, making it easier and more efficient to apply realistic and fitting textures to 3D objects new algorithm adds efficiency to 3D texturing dashboard showcasing AI-powered photo segmentation. Image via (CSE:TGGL) (OTC:TGGLF) has developed a new artificial intelligence photo segmentation algorithm for its proprietary web application.

The company said on Wednesday that the new feature is positively contributing to’s development by helping add efficiency and speed to 3D texturing creative workflows.

When users upload a 3D model and a 2D reference image, the AI divides the 2D image into different sections, which users can choose directly on the platform. The technology takes a small piece from that section and compares it to the existing material library, finding a match between the 2D photo and the 3D material. This whole process is automated.

It is designed to assist designers, artists, marketers and e-commerce owners in segmenting images, categorizing textures and finding matching textures for their 3D models. This technology streamlines the texturing workflow, making it easier and more efficient to apply realistic and fitting textures to 3D objects. It can be utilized in various industries such as gaming, virtual reality, architecture, interior design and e-commerce product visualization.

Read more: Nextech3D.AI artificial intelligence tech turns text prompts to 3D materials

Read more: Inflection AI raises US$1.3B through funding round led by NVIDIA and Microsoft

Segmentation involves three distinct steps

The AI photo segmentation process involves three main steps. First, the input image is automatically divided into different regions using an advanced AI model called “Segment Anything.” These segmented regions are shown on the screen, and the user can choose which region they are interested in.

In the second step, the selected region of interest (ROI) is fed into a classification model. This model has been trained on a dataset of various texture masks and is fine-tuned to identify different texture categories like wood, fabric and metal. It suggests relevant textures that belong to the correct category for the selected ROI.

Once the texture category of the selected ROI is determined, the third step involves finding the best matching textures. Pretrained image embedding models calculate specific features for the selected ROI. These calculated features are then compared with the features of textures belonging to the predicted category. The process identifies the top matching results, providing the user with suitable texture options for their project.

This feature is just one of several AI-powered tools that will be released on the platform soon. It will only be available to users who have a paid subscription called Platform Pro, which costs $29 per month. follows a software-as-a-service (SaaS) business model, where users need to pay for advanced features.

The AI features being developed are exclusively for Platform Pro users, not for the free version. This encourages users to upgrade their subscription and take advantage of the enhanced capabilities.  The company’s AI photo segmentation algorithm is one example of the various advanced AI technologies the company is currently developing.

It aims to empower designers, artists, marketers and e-commerce owners with an advanced 3D texturing process. The company says it is intended to enhance the customer experience and speed up the design and innovation process.

Shares of rose 5.4 per cent to $0.97 on Thursday on the Canadian Securities Exchange.


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