Category: Computer Vision & Graphics

Computer Vision & Graphics Machine Learning & Data Science Popular

University of Alberta U^2-Net: Generating Realistic Pencil Portraits Using Salient Object Detection

University of Alberta recently proposed U^2-Net, a novel deep network architecture that achieves very competitive performance in salient object detection.

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.