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Found 3 papers, 3 papers with code
Neural Maximum A Posteriori Estimation on Unpaired Data for Motion Deblurring
The proposed NeurMAP is an orthogonal approach to existing deblurring neural networks, and is the first framework that enables training image deblurring networks on unpaired datasets.
Video Frame Interpolation without Temporal Priors
However, in complicated real-world situations, the temporal priors of videos, i. e. frames per second (FPS) and frame exposure time, may vary from different camera sensors.
Exposure Trajectory Recovery from Motion Blur
However, the motion information contained in a blurry image has yet to be fully explored and accurately formulated because: (i) the ground truth of dynamic motion is difficult to obtain; (ii) the temporal ordering is destroyed during the exposure; and (iii) the motion estimation from a blurry image is highly ill-posed.
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