SMPLify: 3D Human Pose and Shape from a Single Image (ECCV 2016)

Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image Bogo, F., Kanazawa, A., Lassner, C., Gehler, P., Romero, J., Black, M. J. In Computer Vision – ECCV 2016, Lecture Notes in Computer Science, Springer International Publishing, October 2016 Abstract We describe the first method to automatically estimate the 3D pose of the human body as well as its 3D shape from a single unconstrained image. We estimate a full 3D mesh and show that 2D joints alone carry a surprising amoun