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 …
Evdistill: Asynchronous events to end-task learning via bidirectional reconstruction-guided cross-modal knowledge distillation
Event cameras sense per-pixel intensity changes and produce asynchronous event streams
with high dynamic range and less motion blur, showing advantages over the conventional …
with high dynamic range and less motion blur, showing advantages over the conventional …
Coherent event guided low-light video enhancement
With frame-based cameras, capturing fast-moving scenes without suffering from blur often
comes at the cost of low SNR and low contrast. Worse still, the photometric constancy that …
comes at the cost of low SNR and low contrast. Worse still, the photometric constancy that …
Bridging the gap between events and frames through unsupervised domain adaptation
N Messikommer, D Gehrig, M Gehrig… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
Reliable perception during fast motion maneuvers or in high dynamic range environments is
crucial for robotic systems. Since event cameras are robust to these challenging conditions …
crucial for robotic systems. Since event cameras are robust to these challenging conditions …
Deblurring low-light images with events
Modern image-based deblurring methods usually show degenerate performance in low-light
conditions since the images often contain most of the poorly visible dark regions and a few …
conditions since the images often contain most of the poorly visible dark regions and a few …
Neuspike-net: High speed video reconstruction via bio-inspired neuromorphic cameras
Neuromorphic vision sensor is a new bio-inspired imaging paradigm that emerged in recent
years, which continuously sensing luminance intensity and firing asynchronous spikes …
years, which continuously sensing luminance intensity and firing asynchronous spikes …
Multi-bracket high dynamic range imaging with event cameras
N Messikommer, S Georgoulis… - Proceedings of the …, 2022 - openaccess.thecvf.com
Modern high dynamic range (HDR) imaging pipelines align and fuse multiple low dynamic
range (LDR) images captured at different exposure times. While these methods work well in …
range (LDR) images captured at different exposure times. While these methods work well in …
Unsupervised domain adaptation for training event-based networks using contrastive learning and uncorrelated conditioning
D Jian, M Rostami - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
Event-based cameras offer reliable measurements for preforming computer vision tasks in
high-dynamic range environments and during fast motion maneuvers. However, adopting …
high-dynamic range environments and during fast motion maneuvers. However, adopting …
Ev-nerf: Event based neural radiance field
Abstract We present Ev-NeRF, a Neural Radiance Field derived from event data. While
event cameras can measure subtle brightness changes in high frame rates, the …
event cameras can measure subtle brightness changes in high frame rates, the …
Training weakly supervised video frame interpolation with events
Event-based video frame interpolation is promising as event cameras capture dense motion
signals that can greatly facilitate motion-aware synthesis. However, training existing …
signals that can greatly facilitate motion-aware synthesis. However, training existing …