Deep learning for hdr imaging: State-of-the-art and future trends
L Wang, KJ Yoon - IEEE transactions on pattern analysis and …, 2021 - ieeexplore.ieee.org
High dynamic range (HDR) imaging is a technique that allows an extensive dynamic range
of exposures, which is important in image processing, computer graphics, and computer …
of exposures, which is important in image processing, computer graphics, and computer …
NTIRE 2021 challenge on high dynamic range imaging: Dataset, methods and results
This paper reviews the first challenge on high-dynamic range (HDR) imaging that was part
of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in …
of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in …
Uncertainty estimation in HDR imaging with Bayesian neural networks
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 …
from multi-exposed low dynamic range (LDR) inputs. Intuitively, there exist various possible …
Ghost-free high dynamic range imaging with context-aware transformer
High dynamic range (HDR) deghosting algorithms aim to generate ghost-free HDR images
with realistic details. Restricted by the locality of the receptive field, existing CNN-based …
with realistic details. Restricted by the locality of the receptive field, existing CNN-based …
Towards high-quality hdr deghosting with conditional diffusion models
High Dynamic Range (HDR) images can be recovered from several Low Dynamic Range
(LDR) images by existing Deep Neural Networks (DNNs) techniques. Despite the …
(LDR) images by existing Deep Neural Networks (DNNs) techniques. Despite the …
A unified HDR imaging method with pixel and patch level
Q Yan, W Chen, S Zhang, Y Zhu… - Proceedings of the …, 2023 - openaccess.thecvf.com
Abstract Map** Low Dynamic Range (LDR) images with different exposures to High
Dynamic Range (HDR) remains nontrivial and challenging on dynamic scenes due to …
Dynamic Range (HDR) remains nontrivial and challenging on dynamic scenes due to …
Smart Home Automation-Based Hand Gesture Recognition Using Feature Fusion and Recurrent Neural Network
Gestures have been used for nonverbal communication for a long time, but human–
computer interaction (HCI) via gestures is becoming more common in the modern era. To …
computer interaction (HCI) via gestures is becoming more common in the modern era. To …
Aliked: A lighter keypoint and descriptor extraction network via deformable transformation
Image keypoints and descriptors play a crucial role in many visual measurement tasks. In
recent years, deep neural networks have been widely used to improve the performance of …
recent years, deep neural networks have been widely used to improve the performance of …
NTIRE 2022 challenge on high dynamic range imaging: Methods and results
This paper reviews the challenge on constrained high dynamic range (HDR) imaging that
was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held …
was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held …
Smae: Few-shot learning for hdr deghosting with saturation-aware masked autoencoders
Generating a high-quality High Dynamic Range (HDR) image from dynamic scenes has
recently been extensively studied by exploiting Deep Neural Networks (DNNs). Most DNNs …
recently been extensively studied by exploiting Deep Neural Networks (DNNs). Most DNNs …