Abstract: This paper presents a detailed review of recent advancements in 3D indoor scene segmentation driven by deep learning techniques. It provides an overview of existing segmentation models, ...
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 ...
Abstract: Modern millimeter-wave (mmWave) radar heat map-based object detection techniques have shown significant potential. However, radar heat maps still pose challenges for fine-grained object ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...
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 ...
SAM 3D Objects is a foundation model that reconstructs full 3D shape geometry, texture, and layout from a single image, excelling in real-world scenarios with occlusion and clutter by using ...
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 ...
We’re introducing SAM 3 and SAM 3D, the newest additions to our Segment Anything Collection, which advance AI understanding of the visual world. SAM 3 enables detection and tracking of objects in ...
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 ...
ST. LOUIS — You can now watch our 24/7 live feed on FOX2Now.com for FREE. The stream that powers our smart TV app is now available on our website. Watch all of our newscasts plus exclusive local ...
Data used for Wheat3DGS and the baseline results for each plot (from 461 to 467) are structured as follows: Note that resolution is set to 1 to prevent image downscaling, and the training/test split ...
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