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Abstract: Realizing unified 3D object detection, including both indoor and outdoor scenes, holds great importance in applications like robot navigation. However, involving various scenarios of data to ...
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 ...
Aechelon Technology, Inc. ("Aechelon"), the leading provider of advanced geospatial and visual simulation solutions, today ...
Breakthroughs, discoveries, and DIY tips sent every weekday. Terms of Service and Privacy Policy. Since 3D printers debuted in the 1980s, the devices have been used ...
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 ...
Computer-aided design (CAD) is the go-to method for designing most of today's physical products. Engineers use CAD to turn 2D sketches into 3D models that they can then test and refine before sending ...
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 ...
Abstract: With the explosive growth of 3D objects yet expensive annotation costs, unsupervised 3D object retrieval has become a popular but challenging research area. Existing labeled resources have ...
This repository includes the public implementation of BoxFusion. 2.Download the example data from google drive. Move it into data folder and unzip the data. 3.Run the demo.py using the example data ...
What if creating stunning 3D models didn’t require years of expertise or expensive software? Imagine typing a simple description—“a whimsical cartoon-style robot”—or uploading a few photos, and within ...
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