b'Yulun Zhang'

research

∙ 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...

0 Bin Xia, et al. ∙

research

∙ 08/21/2023

Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction

Hyperspectral Image (HSI) reconstruction has made gratifying progress wi...

0 Miaoyu Li, et al. ∙

research

∙ 08/14/2023

Mutual Information-driven Triple Interaction Network for Efficient Image Dehazing

Multi-stage architectures have exhibited efficacy in image dehazing, whi...

0 Hao Shen, et al. ∙

research

∙ 08/07/2023

Recurrent Self-Supervised Video Denoising with Denser Receptive Field

Self-supervised video denoising has seen decent progress through the use...

0 Zichun Wang, et al. ∙

research

∙ 08/07/2023

Dual Aggregation Transformer for Image Super-Resolution

Transformer has recently gained considerable popularity in low-level vis...

0 Zheng Chen, et al. ∙

research

∙ 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...

0 Chunming He, et al. ∙

research

∙ 08/03/2023

Consistency Regularization for Generalizable Source-free Domain Adaptation

Source-free domain adaptation (SFDA) aims to adapt a well-trained source...

0 Longxiang Tang, et al. ∙

research

∙ 07/19/2023

NTIRE 2023 Quality Assessment of Video Enhancement Challenge

This paper reports on the NTIRE 2023 Quality Assessment of Video Enhance...

0 Xiaohong Liu, et al. ∙

research

∙ 07/15/2023

HQG-Net: Unpaired Medical Image Enhancement with High-Quality Guidance

Unpaired Medical Image Enhancement (UMIE) aims to transform a low-qualit...

0 Chunming He, et al. ∙

research

∙ 06/01/2023

Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging

Snapshot compressive imaging emerges as a promising technology for acqui...

0 Jiamian Wang, et al. ∙

research

∙ 05/29/2023

Alignment-free HDR Deghosting with Semantics Consistent Transformer

High dynamic range (HDR) imaging aims to retrieve information from multi...

0 Steven Tel, et al. ∙

research

∙ 05/29/2023

Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off

Super-resolution (SR) techniques designed for real-world applications co...

0 Ruofan Zhang, et al. ∙

research

∙ 05/22/2023

Hierarchical Integration Diffusion Model for Realistic Image Deblurring

Diffusion models (DMs) have recently been introduced in image deblurring...

0 Zheng Chen, et al. ∙

research

∙ 05/19/2023

Equivariant Multi-Modality Image Fusion

Multi-modality image fusion is a technique used to combine information f...

0 Zixiang Zhao, et al. ∙

research

∙ 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 ...

0 Chunming He, et al. ∙

research

∙ 05/17/2023

Binarized Spectral Compressive Imaging

Existing deep learning models for hyperspectral image (HSI) reconstructi...

0 Yuanhao Cai, et al. ∙

research

∙ 05/10/2023

Multi-Robot Coordination and Layout Design for Automated Warehousing

With the rapid progress in Multi-Agent Path Finding (MAPF), researchers ...

0 Yulun Zhang, et al. ∙

research

∙ 04/03/2023

Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising

Denoising is a crucial step for hyperspectral image (HSI) applications. ...

0 Miaoyu Li, et al. ∙

research

∙ 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...

0 Zichun Wang, et al. ∙

research

∙ 03/16/2023

Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution

The field of image super-resolution (SR) has witnessed extensive neural ...

0 Jiamian Wang, et al. ∙

research

∙ 03/16/2023

DiffIR: Efficient Diffusion Model for Image Restoration

Diffusion model (DM) has achieved SOTA performance by modeling the image...

0 Bin Xia, et al. ∙

research

∙ 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 ...

0 Zixiang Zhao, et al. ∙

research

∙ 03/13/2023

DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion

Multi-modality image fusion aims to combine different modalities to prod...

0 Zixiang Zhao, et al. ∙

research

∙ 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...

0 Yuanhao Cai, et al. ∙

research

∙ 03/11/2023

Xformer: Hybrid X-Shaped Transformer for Image Denoising

In this paper, we present a hybrid X-shaped vision Transformer, named Xf...

0 Jiale Zhang, et al. ∙

research

∙ 03/11/2023

Recursive Generalization Transformer for Image Super-Resolution

Transformer architectures have exhibited remarkable performance in image...

0 Zheng Chen, et al. ∙

research

∙ 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...

0 Bryon Tjanaka, et al. ∙

research

∙ 02/02/2023

No One Left Behind: Real-World Federated Class-Incremental Learning

Federated learning (FL) is a hot collaborative training framework via ag...

0 Jiahua Dong, et al. ∙

research

∙ 11/30/2022

Knowledge Distillation based Degradation Estimation for Blind Super-Resolution

Blind image super-resolution (Blind-SR) aims to recover a high-resolutio...

0 Bin Xia, et al. ∙

research

∙ 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...

0 Zixiang Zhao, et al. ∙

research

∙ 11/25/2022

Spatial-Spectral Transformer for Hyperspectral Image Denoising

Hyperspectral image (HSI) denoising is a crucial preprocessing procedure...

0 Miaoyu Li, et al. ∙

research

∙ 11/24/2022

Cross Aggregation Transformer for Image Restoration

Recently, Transformer architecture has been introduced into image restor...

0 Chen Zheng, et al. ∙

research

∙ 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...

11 Jinjin Gu, et al. ∙

research

∙ 10/04/2022

Accurate Image Restoration with Attention Retractable Transformer

Recently, Transformer-based image restoration networks have achieved pro...

15 Jiale Zhang, et al. ∙

research

∙ 10/02/2022

Basic Binary Convolution Unit for Binarized Image Restoration Network

Lighter and faster image restoration (IR) models are crucial for the dep...

10 Bin Xia, et al. ∙

research

∙ 09/24/2022

S^2-Transformer for Mask-Aware Hyperspectral Image Reconstruction

The technology of hyperspectral imaging (HSI) records the visual informa...

0 Jiamian Wang, et al. ∙

research

∙ 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...

5 Bin Xia, et al. ∙

research

∙ 07/25/2022

Reference-based Image Super-Resolution with Deformable Attention Transformer

Reference-based image super-resolution (RefSR) aims to exploit auxiliary...

0 Jiezhang Cao, et al. ∙

research

∙ 06/15/2022

Residual Sparsity Connection Learning for Efficient Video Super-Resolution

Lighter and faster models are crucial for the deployment of video super-...

1 Bin Xia, et al. ∙

research

∙ 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...

0 Jing Lin, et al. ∙

research

∙ 05/20/2022

Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging

In coded aperture snapshot spectral compressive imaging (CASSI) systems,...

0 Yuanhao Cai, et al. ∙

research

∙ 04/17/2022

MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction

Existing leading methods for spectral reconstruction (SR) focus on desig...

4 Yuanhao Cai, et al. ∙

research

∙ 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 ...

1 Yuanhao Cai, et al. ∙

research

∙ 03/24/2022

Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis

While recent years have witnessed a dramatic upsurge of exploiting deep ...

0 Kai Zhang, et al. ∙

research

∙ 03/16/2022

Hybrid Pixel-Unshuffled Network for Lightweight Image Super-Resolution

Convolutional neural network (CNN) has achieved great success on image s...

0 Bin Sun, et al. ∙

research

∙ 03/09/2022

Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction

Many algorithms have been developed to solve the inverse problem of code...

0 Jing Lin, et al. ∙

research

∙ 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...

8 Xiaowan Hu, et al. ∙

research

∙ 01/27/2022

Revisiting RCAN: Improved Training for Image Super-Resolution

Image super-resolution (SR) is a fast-moving field with novel architectu...

7 Zudi Lin, et al. ∙

research

∙ 01/06/2022

Flow-Guided Sparse Transformer for Video Deblurring

Exploiting similar and sharper scene patches in spatio-temporal neighbor...

0 Jing Lin, et al. ∙

research

∙ 12/31/2021

Calibrated Hyperspectral Image Reconstruction via Graph-based Self-Tuning Network

Recently, hyperspectral imaging (HSI) has attracted increasing research ...

0 Jiamian Wang, et al. ∙

Yulun Zhang

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