8 jui. 2018 [Hartley and Zisserman 2004]. G. Facciolo C. de Franchis
Among the multiple representation forms of 3D shapes (i.e. voxel point cloud and mesh)
Traditional 3D reconstruction methods [10 1
While traditional face reconstruction methods fit low-dimensional 3D morphable models to images we train a deep network to regress depth from a single image.
3D reconstruction of clothed human shape from a single image. Recent project website: https://akincaliskan3d.github.io/MV3DH/. 1 Introduction.
https://nvlabs.github.io/nvdiffrec/assets/paper.pdf
Paper: 3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Deep learning for 3D reconstruction ... github.com/kjw0612/awesome-deep-.
Then DSO minimizes a project-and-compare loss to reconstruct the 3D shape such that it matches the predicted attenuance images from the view angles of all
free implicit reconstruction for realistic 3D capture of multi- ple clothed people in arbitrary A multiple person synthetic image/3D dataset of com-.
http://gfacciol.github.io/multi-date-stereo. Abstract. We propose an algorithm for computing a 3D model from several satellite images of the same site.