An AI method enables the generation of sharp, high-quality 3D shapes that are closer to the quality of the best 2D image models. Previous approaches typically generated blurry or cartoonish 3D shapes.
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 ...
The idea of growing organs or tissues for medical use still sounds like science fiction — and indeed, it's an incredibly difficult thing to do. 3D-printing technology has shown some promise in the ...
The new technique enables the generation of sharper, more lifelike 3D shapes — like these robotic bees — without the need to retrain or finetune a generative AI model. CAMBRIDGE, MA – Creating ...
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Enhanced phase-shifting technique captures 3D shapes of moving objects with high precision
Researchers at the Institute of Science Tokyo have developed a neural-network-based 3D imaging technique that can precisely measure moving objects—a task long considered extremely challenging for ...
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