255 citations · 855 across the 35 of their papers we have counts for
3 papers · 1 filter
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring
Seungjun Nah, Tae Hyun Kim, Kyoung Mu Lee
Non-uniform blind deblurring for general dynamic scenes is a challenging computer vision problem as blurs arise not only from multiple object motions but also from camera shake, sc…
Occlusion-Aware Video Deblurring with a New Layered Blur Model
Byeongjoo Ahn, Tae Hyun Kim, Wonsik Kim +1
We present a deblurring method for scenes with occluding objects using a carefully designed layered blur model. Layered blur model is frequently used in the motion deblurring probl…
Dynamic Scene Deblurring using a Locally Adaptive Linear Blur Model
Tae Hyun Kim, Seungjun Nah, Kyoung Mu Lee
State-of-the-art video deblurring methods cannot handle blurry videos recorded in dynamic scenes, since they are built under a strong assumption that the captured scenes are static…