UBC Okanagan researchers have developed a 3D bio-printed model that closely mimics the complexity of natural lung tissue, an ...

Over the past years, computer scientists have introduced increasingly sophisticated generative AI models that can produce ...

In this paper, we introduce a distance metric learning method for bipartite graph matching-based 3D object retrieval framework. In this method, the relationship among 3D models is formulated by a ...

Apple improved the Math Notes feature in iOS 26 and iPadOS 26, allowing users to input equations to create graphs in three dimensions. Math Notes ...

Roblox is launching and open-sourcing Cube 3D, the first version of its foundational AI model for generating 3D objects. The model is trained on 3D objects.

In this paper, we introduced the Multi-level Graph Convolutional Neural Network (MLGCN) model, designed as a lightweight and efficient solution for 3D shape analysis, particularly for tasks such as 3D ...

You can turn any graph into stunning 3D with Illustrator. In this post we show you how to make a Bar Graph 3D in Illustrator the easy way.

Our method significantly outperforms previous graph diffusion models on the generation of diverse real and synthetic graphs, as well as on 2D/3D molecule generation tasks.

[ECCV 2022] Official PyTorch implementation of the paper - Graph Neural Network for Cell Tracking in Microscopy Videos - talbenha/cell-tracker-gnn ...

A neural field network can create a continuous 3D model from a limited number of 2D images, and it does it without being trained on other samples.