7 citations · 11 across the 4 of their papers we have counts for
8 papers · 1 filter
Pay Attention to Hidden States for Video Deblurring: Ping-Pong Recurrent Neural Networks and Selective Non-Local Attention
JoonKyu Park, Seungjun Nah, Kyoung Mu Lee
Video deblurring models exploit information in the neighboring frames to remove blur caused by the motion of the camera and the objects. Recurrent Neural Networks~(RNNs) are often…
NTIRE 2021 Challenge on Video Super-Resolution
Sanghyun Son, Suyoung Lee, Seungjun Nah +2
Super-Resolution (SR) is a fundamental computer vision task that aims to obtain a high-resolution clean image from the given low-resolution counterpart. This paper reviews the NTIR…
NTIRE 2021 Challenge on Image Deblurring
Seungjun Nah, Sanghyun Son, Suyoung Lee +2
Motion blur is a common photography artifact in dynamic environments that typically comes jointly with the other types of degradation. This paper reviews the NTIRE 2021 Challenge o…
AIM 2020 Challenge on Video Temporal Super-Resolution
Sanghyun Son, Jaerin Lee, Seungjun Nah +2
Videos in the real-world contain various dynamics and motions that may look unnaturally discontinuous in time when the recordedframe rate is low. This paper reports the second AIM…
NTIRE 2020 Challenge on Image and Video Deblurring
Seungjun Nah, Sanghyun Son, Radu Timofte +1
Motion blur is one of the most common degradation artifacts in dynamic scene photography. This paper reviews the NTIRE 2020 Challenge on Image and Video Deblurring. In this challen…
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…