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09/03/2023
Deep Unfolding Convolutional Dictionary Model for Multi-Contrast MRI Super-resolution and Reconstruction
Magnetic resonance imaging (MRI) tasks often involve multiple contrasts....
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08/10/2023
Deep Richardson-Lucy Deconvolution for Low-Light Image Deblurring
Images taken under the low-light condition often contain blur and satura...
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11/22/2022
Flow Guidance Deformable Compensation Network for Video Frame Interpolation
Motion-based video frame interpolation (VFI) methods have made remarkabl...
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04/29/2022
Multiple Degradation and Reconstruction Network for Single Image Denoising via Knowledge Distillation
Single image denoising (SID) has achieved significant breakthroughs with...
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11/30/2021
Contrastive Learning for Local and Global Learning MRI Reconstruction
Magnetic Resonance Imaging (MRI) is an important medical imaging modalit...
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08/20/2021
Structure-Preserving Deraining with Residue Channel Prior Guidance
Single image deraining is important for many high-level computer vision ...
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06/02/2021
Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity Estimation
Under stereo settings, the problem of image super-resolution (SR) and di...
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02/24/2021
Efficient and Accurate Multi-scale Topological Network for Single Image Dehazing
Single image dehazing is a challenging ill-posed problem that has drawn ...
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08/30/2020
