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cs.CV2020★ 1 cited
AIM 2019 Challenge on Video Temporal Super-Resolution: Methods and Results
Seungjun Nah, Sanghyun Son, Radu Timofte +1
Videos contain various types and strengths of motions that may look unnaturally discontinuous in time when the recorded frame rate is low. This paper reviews the first AIM challeng…
cs.CV2018
Iterative Residual Image Deconvolution
Li Si-Yao, Dongwei Ren, Furong Zhao +3
Image deblurring, a.k.a. image deconvolution, recovers a clear image from pixel superposition caused by blur degradation. Few deep convolutional neural networks (CNN) succeed in ad…
cs.CV2017★ 1 cited
Understanding Kernel Size in Blind Deconvolution
Li Si-Yao, Dongwei Ren, Qian Yin
Most blind deconvolution methods usually pre-define a large kernel size to guarantee the support domain. Blur kernel estimation error is likely to be introduced, yielding severe ar…