Event cameras are bio-inspired sensors that capture the per-pixel intensity changes
asynchronously and produce event streams encoding the time, pixel position, and polarity …

Traditional frame-based cameras inevitably suffer from motion blur due to long exposure
times. As a kind of bio-inspired camera, the event camera records the intensity changes in …

Abstract Neural Radiance Fields (NeRF) achieves impressive ren-dering performance by
learning volumetric 3D representation from several images of different views. However, it is …

Abstract Neural Radiance Fields (NeRFs) have shown great potential in novel view
synthesis. However they struggle to render sharp images when the data used for training is …

Event cameras have recently been shown beneficial for practical vision tasks such as action
recognition thanks to their high temporal resolution power efficiency and reduced privacy …

Slow shutter speed and long exposure time of frame-based cameras often cause visual blur
and loss of inter-frame information, degenerating the overall quality of captured videos. To …

Video deblurring aims to restore sharp frames from blurred video clips. Despite notable
progress in video deblurring works it is still a challenging problem because of the loss of …

The challenge of the cloud removal task can be alleviated with the aid of Synthetic Aperture
Radar (SAR) images that can penetrate cloud cover. However, the large domain gap …

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 …

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