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08/26/2023
DiffI2I: Efficient Diffusion Model for Image-to-Image Translation
The Diffusion Model (DM) has emerged as the SOTA approach for image synt...
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08/21/2023
Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction
Hyperspectral Image (HSI) reconstruction has made gratifying progress wi...
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08/14/2023
Mutual Information-driven Triple Interaction Network for Efficient Image Dehazing
Multi-stage architectures have exhibited efficacy in image dehazing, whi...
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08/07/2023
Recurrent Self-Supervised Video Denoising with Denser Receptive Field
Self-supervised video denoising has seen decent progress through the use...
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08/07/2023
Dual Aggregation Transformer for Image Super-Resolution
Transformer has recently gained considerable popularity in low-level vis...
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08/06/2023
Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects
Camouflaged object detection (COD) is the challenging task of identifyin...
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08/03/2023
Consistency Regularization for Generalizable Source-free Domain Adaptation
Source-free domain adaptation (SFDA) aims to adapt a well-trained source...
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07/19/2023
NTIRE 2023 Quality Assessment of Video Enhancement Challenge
This paper reports on the NTIRE 2023 Quality Assessment of Video Enhance...
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07/15/2023
HQG-Net: Unpaired Medical Image Enhancement with High-Quality Guidance
Unpaired Medical Image Enhancement (UMIE) aims to transform a low-qualit...
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06/01/2023
Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging
Snapshot compressive imaging emerges as a promising technology for acqui...
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05/29/2023
Alignment-free HDR Deghosting with Semantics Consistent Transformer
High dynamic range (HDR) imaging aims to retrieve information from multi...
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05/29/2023
Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off
Super-resolution (SR) techniques designed for real-world applications co...
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05/22/2023
Hierarchical Integration Diffusion Model for Realistic Image Deblurring
Diffusion models (DMs) have recently been introduced in image deblurring...
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05/19/2023
Equivariant Multi-Modality Image Fusion
Multi-modality image fusion is a technique used to combine information f...
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05/18/2023
Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping
Weakly-Supervised Concealed Object Segmentation (WSCOS) aims to segment ...
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05/17/2023
Binarized Spectral Compressive Imaging
Existing deep learning models for hyperspectral image (HSI) reconstructi...
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05/10/2023
Multi-Robot Coordination and Layout Design for Automated Warehousing
With the rapid progress in Multi-Agent Path Finding (MAPF), researchers ...
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04/03/2023
Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising
Denoising is a crucial step for hyperspectral image (HSI) applications. ...
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04/02/2023
LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising
Despite the significant results on synthetic noise under simplified assu...
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03/16/2023
Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution
The field of image super-resolution (SR) has witnessed extensive neural ...
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03/16/2023
DiffIR: Efficient Diffusion Model for Image Restoration
Diffusion model (DM) has achieved SOTA performance by modeling the image...
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03/15/2023
Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution
Guided depth map super-resolution (GDSR), as a hot topic in multi-modal ...
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03/13/2023
DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion
Multi-modality image fusion aims to combine different modalities to prod...
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03/12/2023
Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement
When enhancing low-light images, many deep learning algorithms are based...
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03/11/2023
Xformer: Hybrid X-Shaped Transformer for Image Denoising
In this paper, we present a hybrid X-shaped vision Transformer, named Xf...
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03/11/2023
Recursive Generalization Transformer for Image Super-Resolution
Transformer architectures have exhibited remarkable performance in image...
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03/01/2023
pyribs: A Bare-Bones Python Library for Quality Diversity Optimization
Recent years have seen a rise in the popularity of quality diversity (QD...
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02/02/2023
No One Left Behind: Real-World Federated Class-Incremental Learning
Federated learning (FL) is a hot collaborative training framework via ag...
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11/30/2022
Knowledge Distillation based Degradation Estimation for Blind Super-Resolution
Blind image super-resolution (Blind-SR) aims to recover a high-resolutio...
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11/26/2022
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion
Multi-modality (MM) image fusion aims to render fused images that mainta...
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11/25/2022
Spatial-Spectral Transformer for Hyperspectral Image Denoising
Hyperspectral image (HSI) denoising is a crucial preprocessing procedure...
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11/24/2022
Cross Aggregation Transformer for Image Restoration
Recently, Transformer architecture has been introduced into image restor...
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10/09/2022
Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images
Rendering high-resolution (HR) graphics brings substantial computational...
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10/04/2022
Accurate Image Restoration with Attention Retractable Transformer
Recently, Transformer-based image restoration networks have achieved pro...
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10/02/2022
Basic Binary Convolution Unit for Binarized Image Restoration Network
Lighter and faster image restoration (IR) models are crucial for the dep...
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09/24/2022
S^2-Transformer for Mask-Aware Hyperspectral Image Reconstruction
The technology of hyperspectral imaging (HSI) records the visual informa...
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07/28/2022
Meta-Learning based Degradation Representation for Blind Super-Resolution
The most of CNN based super-resolution (SR) methods assume that the degr...
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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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06/15/2022
Residual Sparsity Connection Learning for Efficient Video Super-Resolution
Lighter and faster models are crucial for the deployment of video super-...
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05/20/2022
Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration
How to properly model the inter-frame relation within the video sequence...
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05/20/2022
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging
In coded aperture snapshot spectral compressive imaging (CASSI) systems,...
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04/17/2022
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction
Existing leading methods for spectral reconstruction (SR) focus on desig...
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04/06/2022
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training
Existing deep learning real denoising methods require a large amount of ...
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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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03/16/2022
Hybrid Pixel-Unshuffled Network for Lightweight Image Super-Resolution
Convolutional neural network (CNN) has achieved great success on image s...
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03/09/2022
Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction
Many algorithms have been developed to solve the inverse problem of code...
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03/04/2022
HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging
The rapid development of deep learning provides a better solution for th...
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01/27/2022
Revisiting RCAN: Improved Training for Image Super-Resolution
Image super-resolution (SR) is a fast-moving field with novel architectu...
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01/06/2022
Flow-Guided Sparse Transformer for Video Deblurring
Exploiting similar and sharper scene patches in spatio-temporal neighbor...
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12/31/2021