Keywords: 3D reconstruction · adversarial loss · geometric consistency. · point cloud · 3D neural network. 1 Introduction. Single-view 3D object
Mateusz Michalkiewicz Sarah Parisot
Abstract—We address the problem of fully automatic object localization and reconstruction from a single image. This is both a very.
chical surface prediction (HSP) for high resolution 3D object reconstruction which is organized around the observation that only a few of the voxels are in
Learning 3D object models from 2D images HoloPose: Holistic 3D Human Reconstruction In-the-Wild A. Guler and I. Kokkinos
On the other hand we impose the reconstruction to be 'realistic' by forcing it to lie on a. (learned) manifold of realistic object shapes. Our experi- ments
Code is available at github.com/wagnew3/ARM. Keywords: 3D Reconstruction 3D Vision
Code is available at https: //github.com/junshengzhou/3DAttriFlow. *Equal contribution. †The corresponding author is Yu-Shen Liu. This work was sup- ported
We make our data publicly available creating the first object reconstruction dataset to include ground-truth CAD models and RGB-D sequences from sensors of