Multiple imaging modalities can be combined to provide more information about the real
world than a single modality alone. Infrared images discriminate targets with respect to their …

With the rapid development and popularity of the Internet, multimedia security has become a
general essential concern. Especially, as manipulation of digital images gets much easier …

Abstract Neural Radiance Fields (NeRF) is a technique for high quality novel view synthesis
from a collection of posed input images. Like most view synthesis methods, NeRF uses …

Abstract We present High Dynamic Range Neural Radiance Fields (HDR-NeRF) to recover
an HDR radiance field from a set of low dynamic range (LDR) views with different …

In this paper we present ADOP, a novel point-based, differentiable neural rendering
pipeline. Like other neural renderers, our system takes as input calibrated camera images …

This paper introduces the Meshroom software and its underlying 3D computer vision
framework AliceVision. This solution provides a photogrammetry pipeline to reconstruct 3D …

High Dynamic Range (HDR) images can be recovered from several Low Dynamic Range
(LDR) images by existing Deep Neural Networks (DNNs) techniques. Despite the …

Due to the poor lighting condition and limited dynamic range of digital imaging devices, the
recorded images are often under-/over-exposed and with low contrast. Most of previous …

Abstract Machine learning techniques work best when the data used for training resembles
the data used for evaluation. This holds true for learned single-image denoising algorithms …

The goal of high dynamic range (HDR) imaging is to estimate potential high-quality images
from multi-exposed low dynamic range (LDR) inputs. Intuitively, there exist various possible …