Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...

Building an elastic collision simulator with springs in Python to model realistic physics interactions and dynamic object collisions. Learn how to implement spring forces, momentum conservation, and ...

One night in 2010, Mohit Gupta decided to try something before leaving the lab. Then a Ph.D. student at Carnegie Mellon ...

I love creating things on my 3D printer, but I’ve always hit a wall because I’m not an engineer and traditional 3D design software can be really tricky. In ...

Dive into 3D object modeling and projectile motion with Python in Lesson 4! In this tutorial, we guide you step by step through creating 3D visualizations and simulating projectile motion using Python ...

Puppeteer is proposed for automatic rigging and animation of 3D objects. Given a 3D object, Puppeteer first automatically generates skeletal structures and skinning weights, then animates the rigged ...

MIT researchers have developed a generative AI system that allows users to personalize 3D-printed objects without weakening their structural strength. The system, called MechStyle, tackles a common ...

A novel method has enabled scientists to 3D-print structures into live cells, paving the way for a new class of intracellular bioengineering tools and applications. In a first, scientists from the ...

Imagine snapping a photo of your favorite object, a vintage car, a family heirloom, or even your pet, and instantly transforming it into a lifelike 3D model. Thanks to Meta’s SAM 3D, this futuristic ...

Researchers at Science Tokyo have developed a neural inverse rendering method that accurately reconstructs the three-dimensional (3D) shapes of moving objects using only three standard projection ...

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...

Abstract: Traditional 3D object detectors, whether fully-, semi-, or weakly-supervised, rely heavily on extensive human annotations. In contrast, this paper introduces an unsupervised 3D object ...