11 citations · 29 across the 25 of their papers we have counts for
3 papers · 1 filter
Monocular Human Shape and Pose with Dense Mesh-borne Local Image Features
Shubhendu Jena, Franck Multon, Adnane Boukhayma
We propose to improve on graph convolution based approaches for human shape and pose estimation from monocular input, using pixel-aligned local image features. Given a single input…
Neural Human Deformation Transfer
Jean Basset, Adnane Boukhayma, Stefanie Wuhrer +2
We consider the problem of human deformation transfer, where the goal is to retarget poses between different characters. Traditional methods that tackle this problem require a clea…
Dual Mesh Convolutional Networks for Human Shape Correspondence
Nitika Verma, Adnane Boukhayma, Jakob Verbeek +1
Convolutional networks have been extremely successful for regular data structures such as 2D images and 3D voxel grids. The transposition to meshes is, however, not straight-forwar…