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08/17/2023
Learning A Coarse-to-Fine Diffusion Transformer for Image Restoration
Recent years have witnessed the remarkable performance of diffusion mode...
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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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03/21/2023
Learning A Sparse Transformer Network for Effective Image Deraining
Transformers-based methods have achieved significant performance in imag...
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03/20/2023
Open-World Pose Transfer via Sequential Test-Time Adaption
Pose transfer aims to transfer a given person into a specified posture, ...
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03/13/2023
SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency
This work presents an effective depth-consistency self-prompt Transforme...
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02/27/2023
Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution
Although numerous solutions have been proposed for image super-resolutio...
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01/18/2023
Deep Dynamic Scene Deblurring from Optical Flow
Deblurring can not only provide visually more pleasant pictures and make...
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12/05/2022
BiSTNet: Semantic Image Prior Guided Bidirectional Temporal Feature Fusion for Deep Exemplar-based Video Colorization
How to effectively explore the colors of reference exemplars and propaga...
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11/25/2022
FFHQ-UV: Normalized Facial UV-Texture Dataset for 3D Face Reconstruction
We present a large-scale facial UV-texture dataset that contains over 50...
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11/22/2022
Efficient Frequency Domain-based Transformers for High-Quality Image Deblurring
We present an effective and efficient method that explores the propertie...
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11/21/2022
SLLEN: Semantic-aware Low-light Image Enhancement Network
How to effectively explore semantic feature is vital for low-light image...
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07/28/2022
DnSwin: Toward Real-World Denoising via Continuous Wavelet Sliding-Transformer
Real-world image denoising is a practical image restoration problem that...
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07/18/2022
Boosting Video Super Resolution with Patch-Based Temporal Redundancy Optimization
The success of existing video super-resolution (VSR) algorithms stems ma...
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07/16/2022
Structural Prior Guided Generative Adversarial Transformers for Low-Light Image Enhancement
We propose an effective Structural Prior guided Generative Adversarial T...
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06/06/2022
Real-World Image Super-Resolution by Exclusionary Dual-Learning
Real-world image super-resolution is a practical image restoration probl...
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05/30/2022
ShuffleMixer: An Efficient ConvNet for Image Super-Resolution
Lightweight and efficiency are critical drivers for the practical applic...
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02/14/2022
Online-updated High-order Collaborative Networks for Single Image Deraining
Single image deraining is an important and challenging task for some dow...
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01/19/2022
Self-Supervised Deep Blind Video Super-Resolution
Existing deep learning-based video super-resolution (SR) methods usually...
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12/09/2021
Deep Recurrent Neural Network with Multi-scale Bi-directional Propagation for Video Deblurring
The success of the state-of-the-art video deblurring methods stems mainl...
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09/07/2021
Unpaired Adversarial Learning for Single Image Deraining with Rain-Space Contrastive Constraints
Deep learning-based single image deraining (SID) with unpaired informati...
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04/06/2020
Cascaded Deep Video Deblurring Using Temporal Sharpness Prior
We present a simple and effective deep convolutional neural network (CNN...
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03/10/2020
Deep Blind Video Super-resolution
Existing video super-resolution (SR) algorithms usually assume that the ...
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08/18/2019
Image Formation Model Guided Deep Image Super-Resolution
We present a simple and effective image super-resolution algorithm that ...
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04/28/2019
Spatio-Temporal Filter Adaptive Network for Video Deblurring
Video deblurring is a challenging task due to the spatially variant blur...
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04/10/2019
DAVANet: Stereo Deblurring with View Aggregation
Nowadays stereo cameras are more commonly adopted in emerging devices su...
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11/22/2018
Joint Face Hallucination and Deblurring via Structure Generation and Detail Enhancement
We address the problem of restoring a high-resolution face image from a ...
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08/02/2018
Physics-Based Generative Adversarial Models for Image Restoration and Beyond
We present an algorithm to directly solve numerous image restoration pro...
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05/15/2018
Learning to Deblur Images with Exemplars
Human faces are one interesting object class with numerous applications....
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05/14/2018
Learning Dual Convolutional Neural Networks for Low-Level Vision
In this paper, we propose a general dual convolutional neural network (D...
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03/31/2018
Gated Fusion Network for Single Image Dehazing
In this paper, we propose an efficient algorithm to directly restore a c...
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03/09/2018
Learning a Discriminative Prior for Blind Image Deblurring
We present an effective blind image deblurring method based on a data-dr...
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12/25/2017
Deep Blind Image Inpainting
Image inpainting is a challenging problem as it needs to fill the inform...
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12/18/2017
LSTM Pose Machines
We observed that recent state-of-the-art results on single image human p...
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10/01/2017
Image Dehazing using Bilinear Composition Loss Function
In this paper, we introduce a bilinear composition loss function to addr...
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08/11/2017
Video Deblurring via Semantic Segmentation and Pixel-Wise Non-Linear Kernel
Video deblurring is a challenging problem as the blur is complex and usu...
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11/20/2016
Learning Fully Convolutional Networks for Iterative Non-blind Deconvolution
In this paper, we propose a fully convolutional networks for iterative n...
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12/05/2012