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 …
Attention-guided network for ghost-free high dynamic range imaging
Ghosting artifacts caused by moving objects or misalignments is a key challenge in high
dynamic range (HDR) imaging for dynamic scenes. Previous methods first register the input …
dynamic range (HDR) imaging for dynamic scenes. Previous methods first register the input …
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 Mapping 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 …
Robust high dynamic range (hdr) imaging with complex motion and parallax
High dynamic range (HDR) imaging is widely used in consumer photography, computer
game rendering, autonomous driving, and surveillance systems. Reconstructing ghosting …
game rendering, autonomous driving, and surveillance systems. Reconstructing ghosting …
Dual-attention-guided network for ghost-free high dynamic range imaging
Ghosting artifacts caused by moving objects and misalignments are a key challenge in
constructing high dynamic range (HDR) images. Current methods first register the input low …
constructing high dynamic range (HDR) images. Current methods first register the input low …
Towards practical and efficient high-resolution HDR deghosting with CNN
Abstract Generating High Dynamic Range (HDR) image in the presence of camera and
object motion is a tedious task. If uncorrected, these motions will manifest as ghosting …
object motion is a tedious task. If uncorrected, these motions will manifest as ghosting …
High dynamic range imaging with context-aware transformer
F Zhou, Z Fu, D Zhang - 2023 International Joint Conference on …, 2023 - ieeexplore.ieee.org
Avoiding the introduction of ghosts when synthesising LDR images as high dynamic range
(HDR) images is a challenging task. Convolutional neural networks (CNNs) are effective for …
(HDR) images is a challenging task. Convolutional neural networks (CNNs) are effective for …
Deep HDR imaging via a non-local network
One of the most challenging problems in reconstructing a high dynamic range (HDR) image
from multiple low dynamic range (LDR) inputs is the ghosting artifacts caused by the object …
from multiple low dynamic range (LDR) inputs is the ghosting artifacts caused by the object …
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 …
Deep high dynamic range imaging with large foreground motions
This paper proposes the first non-flow-based deep framework for high dynamic range (HDR)
imaging of dynamic scenes with large-scale foreground motions. In state-of-the-art deep …
imaging of dynamic scenes with large-scale foreground motions. In state-of-the-art deep …