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 ...

If you find 3D printers to be just a little too coldly futuristic, this contraption might be more to your liking. Scientists from Cornell University have created a machine that knits solid 3D objects ...

This adds the "3D Particle System Player" tool, which allows you to spawn 3D Particle Systems (3DPs) from any addon which contains them. As of October 23, 2025, no tool exists which allows the user to ...

What if the physical world could be captured with such precision that it became indistinguishable from its digital counterpart? This is the bold ambition driving the collaboration between Microsoft ...

NVIDIA introduces an AI Blueprint for 3D object generation, enhancing scene creation efficiency. Microsoft TRELLIS microservice boosts performance by 20%, powered by NVIDIA RTX. In a significant leap ...

When instantiating an object at a location, despawn pooling it, and then respawning it at a new location, the client sees the object spawned at the old location instead of the new one. Import example ...

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 ...