… In section 5., we outline how to extend this approach to a 3-D surface reconstruction, where
images from different directions allow us to separate variations in pixel values due to albedo …

… inference approach for 3D super-resolved surface reconstruction when the resolution of
inferred surface mesh is higher than the spatial resolution of input images. This also enables …

… framework to estimate super-resolved texture maps on a 3D geometry model of a surface
from multiple images. Given the calibrated images and the reconstructed geometry, the …

… images super-resolved from 1-mm isotropic T 1 -weighted … and white matter image intensity
of all image volumes was … white surface reconstructed from the native high-resolution images …

… of images which are all at the same scale and are related by translations. The novelty of our
method is two-fold: first, the low resolution images … the resolution can vary across the image. …

… are estimated first and subsequently the surface reconstruction is carried out. Shekarforoush
… We also observe that the quality of the estimated super-resolved image given in Figure 3(e) …

… image from a set of low-resolution images … two classes: Approaches that apply the
super-resolution in the 2D space and then use multiple super-resolved 2D images to reconstruct …

… the needs of the computational imaging field, whereby the … (HR) data products from multiple
low-resolution (LR) samples… , super-resolved wavefronts can be reconstructed in all layers…

… Furthermore, by exploiting the rigorous Structure-from-Motion (SfM) photogrammetry
procedure, an accurate task-based IQM for evaluating the quality of the super-resolved images is …

… image which scale quadratically with the image resolution. Here, we propose a super-resolved
imaging … neural networks where we reconstruct a low resolution image, which we denoise …