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Computer Vision & Graphics

Fewer Cameras and Faster Processing: USC Proposes Monocular Real-Time Volumetric Performance Capture

A novel volumetric capture system that is capable of fully capturing clothed human bodies in real-time using only a single RGB webcam.

AI Computer Vision & Graphics Machine Learning & Data Science

CUHK & Facebook Demonstrate SOTA Monocular 3D Hand Motion Capture Method ‘FrankMocap’

Researchers from The Chinese University of Hong Kong, Facebook Reality Labs, and Facebook AI Research have unveiled a state-of-the-art monocular 3D hand motion capture method, FrankMocap, which can estimate both 3D hand and body motions from in-the-wild monocular inputs with faster speed and better accuracy than previous approaches.