In this paper we propose to address the problem of 3D object decomposition and super resolution. We model the 3D object as a set of Riemannian manifolds and ...
3D object super-resolution is the task of up-sampling 3D objects. ( Image credit: Multi-View Silhouette and Depth Decomposition for High Resolution 3D ...
Aug 24, 2015 · The super resolution of the 3D point clouds is carried out using the decomposed object by using selective interpolation techniques. The ...
This page is a summary of: 3D object decomposition and super resolution , November 2014, ACM (Association for Computing Machinery), DOI: 10.1145/2668975.2669018 ...
We provide the high- and low-resolution tex- ture maps, the 3D geometric model, images and projection matrices. We exploit the power of 2D learning-based SR.
A technique to form super-resolved 3D Synthetic Aperture Radar (SAR) images from a limited number of elevation passes is presented in this paper.
Dec 3, 2014 · 3D Object Decomposition and Super Resolution. Syed Altaf Ganihar ... Figure 1: Overview of the proposed 3D object super resolution.
Sep 9, 2024 · To this end, we introduce a novel method for the fast up-sampling of 3D objects in voxel space by super-resolution on the six orthographic depth ...
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We propose a framework for joint texture map super- resolution and intrinsic decomposition. To this end, we define shading and albedo maps of the 3D object as ...
The code here allows one to train models to accurately and efficiently upsample voxelized objects to high resolutions, and to reconstruct voxelized objects from ...