Event-based motion deblurring has shown promising results by exploiting low-latency
events. However, current approaches are limited in their practical usage, as they assume the …

Abstract Video Frame Interpolation (VFI) aims to generate intermediate video frames
between consecutive input frames. Since the event cameras are bio-inspired sensors that …

Contemporary deep learning multi-scale deblurring models suffer from many issues:(I) They
perform poorly on non-uniformly blurred images/videos;(II) Simply increasing the model …

S uper-R esolution from a single motion B lurred image (SRB) is a severely ill-posed
problem due to the joint degradation of motion blurs and low spatial resolution. In this article …

Conventional cameras face challenges when capturing motion information during the
exposure due to their physical design, rendering the motion deblurring task ill-posed. To this …

High-fidelity radiance recovery plays a crucial role in scene information reconstruction and
understanding. Conventional cameras suffer from limited sensitivity in dynamic range, bit …

Abstract Video Frame Interpolation (VFI) which aims at generating high-frame-rate videos
from low-frame-rate inputs is a highly challenging task. The emergence of bio-inspired …

In this paper, we present continuous parametric optical flow, a parametric representation of
dense and continuous motion over arbitrary time interval. In contrast to existing discrete-time …

Images and videos often suffer from issues such as motion blur, video discontinuity, or
rolling shutter artifacts. Prior studies typically focus on designing specific algorithms to …

In the presence of abrupt motion, the pushbroom scanning mechanism of a rolling shutter
(RS) camera tends to bring undesirable distortion, which is recently shown to be beneficial …