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Found 3 papers, 1 papers with code
HumanMeshNet: Polygonal Mesh Recovery of Humans
3D Human Body Reconstruction from a monocular image is an important problem in computer vision with applications in virtual and augmented reality platforms, animation industry, en-commerce domain, etc.
DeepHuMS: Deep Human Motion Signature for 3D Skeletal Sequences
3D Human Motion Indexing and Retrieval is an interesting problem due to the rise of several data-driven applications aimed at analyzing and/or re-utilizing 3D human skeletal data, such as data-driven animation, analysis of sports bio-mechanics, human surveillance etc.
Deep Textured 3D Reconstruction of Human Bodies
In this paper, we propose a deep learning based solution for textured 3D reconstruction of human body shapes from a single view RGB image.
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