6 papers · 1 filter
EVDI++: Event-based Video Deblurring and Interpolation via Self-Supervised Learning
Chi Zhang, Xiang Zhang, Chenxu Jiang +2
Frame-based cameras with extended exposure times often produce perceptible visual blurring and information loss between frames, significantly degrading video quality. To address th…
Learning Monocular Depth from Focus with Event Focal Stack
Chenxu Jiang, Mingyuan Lin, Chi Zhang +2
Depth from Focus estimates depth by determining the moment of maximum focus from multiple shots at different focal distances, i.e. the Focal Stack. However, the limited sampling ra…
Super-Resolving Blurry Images with Events
Chi Zhang, Mingyuan Lin, Xiang Zhang +2
Super-resolution from motion-blurred images poses a significant challenge due to the combined effects of motion blur and low spatial resolution. To address this challenge, this pap…
Non-Uniform Exposure Imaging via Neuromorphic Shutter Control
Mingyuan Lin, Jian Liu, Chi Zhang +3
By leveraging the blur-noise trade-off, imaging with non-uniform exposures largely extends the image acquisition flexibility in harsh environments. However, the limitation of conve…
CrossZoom: Simultaneously Motion Deblurring and Event Super-Resolving
Chi Zhang, Xiang Zhang, Mingyuan Lin +5
Even though the collaboration between traditional and neuromorphic event cameras brings prosperity to frame-event based vision applications, the performance is still confined by th…
Learning Parallax for Stereo Event-based Motion Deblurring
Mingyuan Lin, Chi Zhang, Chu He +1
Due to the extremely low latency, events have been recently exploited to supplement lost information for motion deblurring. Existing approaches largely rely on the perfect pixel-wi…