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05/15/2023
Denoising Diffusion Models for Plug-and-Play Image Restoration
Plug-and-play Image Restoration (IR) has been widely recognized as a fle...
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01/12/2023
Event-Based Frame Interpolation with Ad-hoc Deblurring
The performance of video frame interpolation is inherently correlated wi...
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07/25/2022
Reference-based Image Super-Resolution with Deformable Attention Transformer
Reference-based image super-resolution (RefSR) aims to exploit auxiliary...
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06/05/2022
Recurrent Video Restoration Transformer with Guided Deformable Attention
Video restoration aims at restoring multiple high-quality frames from mu...
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03/24/2022
Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis
While recent years have witnessed a dramatic upsurge of exploiting deep ...
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01/28/2022
VRT: A Video Restoration Transformer
Video restoration (e.g., video super-resolution) aims to restore high-qu...
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11/30/2021
MEFNet: Multi-scale Event Fusion Network for Motion Deblurring
Traditional frame-based cameras inevitably suffer from motion blur due t...
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08/23/2021
SwinIR: Image Restoration Using Swin Transformer
Image restoration is a long-standing low-level vision problem that aims ...
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08/11/2021
Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution
Existing blind image super-resolution (SR) methods mostly assume blur ke...
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08/11/2021
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling
Normalizing flows have recently demonstrated promising results for low-l...
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08/04/2021
Boosting Few-shot Semantic Segmentation with Transformers
Due to the fact that fully supervised semantic segmentation methods requ...
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03/29/2021
Flow-based Kernel Prior with Application to Blind Super-Resolution
Kernel estimation is generally one of the key problems for blind image s...
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03/25/2021
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution
It is widely acknowledged that single image super-resolution (SISR) meth...
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07/22/2019