43 citations · 106 across the 5 of their papers we have counts for
5 papers
Scale-recurrent Network for Deep Image Deblurring
Xin Tao, Hongyun Gao, Yi Wang +3
In single image deblurring, the "coarse-to-fine" scheme, i.e. gradually restoring the sharp image on different resolutions in a pyramid, is very successful in both traditional opti…
Detail-revealing Deep Video Super-resolution
Xin Tao, Hongyun Gao, Renjie Liao +2
Previous CNN-based video super-resolution approaches need to align multiple frames to the reference. In this paper, we show that proper frame alignment and motion compensation is c…
Deep Video Deblurring
Shuochen Su, Mauricio Delbracio, Jue Wang +3
Motion blur from camera shake is a major problem in videos captured by hand-held devices. Unlike single-image deblurring, video-based approaches can take advantage of the abundant…
Appearance Harmonization for Single Image Shadow Removal
Liqian Ma, Jue Wang, Eli Shechtman +2
Shadows often create unwanted artifacts in photographs, and removing them can be very challenging. Previous shadow removal methods often produce de-shadowed regions that are visual…
PanoSwarm: Collaborative and Synchronized Multi-Device Panoramic Photography
Yan Wang, Sunghyun Cho, Jue Wang +1
Taking a picture has been traditionally a one-persons task. In this paper we present a novel system that allows multiple mobile devices to work collaboratively in a synchronized fa…