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 ...

The 3D scan of a mask fragment matches up with the scan of a different well-preserved mask. Carlo Rindi Nuzzolo Today the world of Egyptology faces a silent crisis – not of looting, although that ...

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 ...

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 ...

TL;DR We introduce Anywhere3D-Bench, a holistic 3D visual grounding benchmark consisting of 2.6K referring expression-3D bounding box pairs spanning four different grounding levels: human-activity ...

Abstract: Due to the ill-posed nature of locating 3D objects based on image inputs, objects detected by camera-based detectors tend to have considerable uncertainty in their localization. Previous ...

Can Large vision language models understand and match 3D shapes: Generate images of same 3D object but with different orientations, textures/materials, and environments This script will procedurally ...

The power of 3D graphics is undeniable. But what if you could create compelling visual experiences using only the humble ASCII character set? Enter the fascinating world of ASCII 3D renderers, where ...

Meta’s latest foray into AI image generation is a quick one. The company introduced its new “3D Gen” model on Tuesday, a “state-of-the-art, fast pipeline” for transforming input text into ...

In this Special Focus Issue, Digital Engineering takes a look at how generative design solutions can be used across different types of design problems and with a variety of manufacturing approaches to ...