Image and Video Processing

Papers filed under eess.IV on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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1,201 to 1,260 of 1,311

Deep Semantic Segmentation of Natural and Medical Images: A Review
Saeid Asgari Taghanaki, Kumar Abhishek, Joseph Paul Cohen +2
cs.CVcs.LGeess.IVarXiv:1910.07655v42019
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation
Debesh Jha, Michael A. Riegler, Dag Johansen +2
eess.IVcs.CVarXiv:2006.04868v22020
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
Bowen Cheng, Bin Xiao, Jingdong Wang +3
cs.CVcs.LGeess.IVarXiv:1908.10357v32019
Single Image Super-Resolution via a Holistic Attention Network
Ben Niu, Weilei Wen, Wenqi Ren +6
eess.IVcs.CVarXiv:2008.08767v12020
Multi-Scale Progressive Fusion Network for Single Image Deraining
Kui Jiang, Zhongyuan Wang, Peng Yi +5
cs.CVcs.LGeess.IVarXiv:2003.10985v22020
Spanning the Visual Analogy Space with a Weight Basis of LoRAs
Hila Manor, Rinon Gal, Haggai Maron +2
cs.CVcs.AIcs.GRarXiv:2602.15727v22026
PadChest: A large chest x-ray image dataset with multi-label annotated reports
Aurelia Bustos, Antonio Pertusa, Jose-Maria Salinas +1
eess.IVcs.CVarXiv:1901.07441v22019
Video Generation Models as World Models: Efficient Paradigms, Architectures and Algorithms
Muyang He, Hanzhong Guo, Junxiong Lin +1
eess.IVcs.CVarXiv:2603.28489v32026
COVID-19 Image Data Collection: Prospective Predictions Are the Future
Joseph Paul Cohen, Paul Morrison, Lan Dao +3
q-bio.QMcs.CVcs.LGarXiv:2006.11988v32020
DVC: An End-to-end Deep Video Compression Framework
Guo Lu, Wanli Ouyang, Dong Xu +3
eess.IVcs.CVarXiv:1812.00101v32018
DM4CT: Benchmarking Diffusion Models for Computed Tomography Reconstruction
Jiayang Shi, Daniel M. Pelt, K. Joost Batenburg
eess.IVcs.AIcs.CVarXiv:2602.18589v12026
Neural Style Transfer: A Review
Yongcheng Jing, Yezhou Yang, Zunlei Feng +3
cs.CVcs.NEeess.IVarXiv:1705.04058v72017
CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation
A. Emre Kavur, N. Sinem Gezer, Mustafa Barış +24
eess.IVcs.CVarXiv:2001.06535v32020
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
Xingyi Yang, Xuehai He, Jinyu Zhao +3
cs.LGcs.CVeess.IVarXiv:2003.13865v32020
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
eess.IVcs.CVcs.LGarXiv:2003.13815v32020
The Creation and Detection of Deepfakes: A Survey
Yisroel Mirsky, Wenke Lee
cs.CVcs.LGeess.IVarXiv:2004.11138v32020
From Scale to Speed: Adaptive Test-Time Scaling for Image Editing
Xiangyan Qu, Zhenlong Yuan, Jing Tang +9
cs.CVcs.AIcs.LGarXiv:2603.00141v32026
A Survey of Modern Deep Learning based Object Detection Models
Syed Sahil Abbas Zaidi, Mohammad Samar Ansari, Asra Aslam +3
cs.CVcs.LGeess.IVarXiv:2104.11892v22021
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
Ilya Kostrikov, Denis Yarats, Rob Fergus
cs.LGcs.CVeess.IVarXiv:2004.13649v42020
FireRed-OCR Technical Report
Hao Wu, Haoran Lou, Xinyue Li +19
cs.CVeess.IVarXiv:2603.01840v12026
U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation
Jun Ma, Feifei Li, Bo Wang
eess.IVcs.CVcs.LGarXiv:2401.04722v12024
Medical Image Segmentation Review: The success of U-Net
Reza Azad, Ehsan Khodapanah Aghdam, Amelie Rauland +7
eess.IVcs.CVarXiv:2211.14830v12022
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution
Kai Zhang, Jingyun Liang, Luc Van Gool +1
eess.IVcs.CVarXiv:2103.14006v22021
"Zero-Shot" Super-Resolution using Deep Internal Learning
Assaf Shocher, Nadav Cohen, Michal Irani
cs.CVcs.LGcs.NEarXiv:1712.06087v12017
Leveraging Frequency Analysis for Deep Fake Image Recognition
Joel Frank, Thorsten Eisenhofer, Lea Schönherr +3
cs.CVeess.IVarXiv:2003.08685v32020
UNeXt: MLP-based Rapid Medical Image Segmentation Network
Jeya Maria Jose Valanarasu, Vishal M. Patel
eess.IVcs.CVarXiv:2203.04967v12022
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
Amber L. Simpson, Michela Antonelli, Spyridon Bakas +21
cs.CVeess.IVarXiv:1902.09063v12019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh, Laura Jeyaseelan, Qian Li +3
eess.IVcs.CVcs.LGarXiv:1908.10454v22019
Domain Adaptation for Medical Image Analysis: A Survey
Hao Guan, Mingxia Liu
cs.CVcs.LGeess.IVarXiv:2102.09508v12021
Frozen CLIP Priors for Robust Self-Supervised Poisson Inverse Problems
Laura C. Diaz-Delgado, Emmanuel Martinez, Henry Arguello
eess.IVcs.CVarXiv:2608.20524v12026
Sparse Light Field Sampling Improves Casual 3D and 4D Reconstruction
Shamus Li, Ruiming Cao, Laura Waller +2
eess.IVcs.CVarXiv:2608.20602v12026
VM-UNet: Vision Mamba UNet for Medical Image Segmentation
Jiacheng Ruan, Jincheng Li, Suncheng Xiang
eess.IVcs.CVarXiv:2402.02491v22024
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises
S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos +6
cs.CVeess.IVarXiv:2008.09104v22020
COVID-19 Image Data Collection
Joseph Paul Cohen, Paul Morrison, Lan Dao
eess.IVcs.CVcs.LGarXiv:2003.11597v12020
Toward Vision Language Model-based Assessment of Clinical Quality and Usability of LGE-MR Images for Cardiac Ablation Planning
Bipasha Kundu, Abhishek Chaturvedi, Axel W. E. Wismueller +2
eess.IVcs.CVarXiv:2608.21180v12026
COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images
Ezz El-Din Hemdan, Marwa A. Shouman, Mohamed Esmail Karar
eess.IVcs.CVcs.LGarXiv:2003.11055v12020
A survey of loss functions for semantic segmentation
Shruti Jadon
eess.IVcs.CVcs.LGarXiv:2006.14822v42020
GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing
Xiaohong Liu, Yongrui Ma, Zhihao Shi +1
cs.CVeess.IVarXiv:1908.03245v12019
FireRed-Image-Edit-1.0 Technical Report
Super Intelligence Team, Changhao Qiao, Chao Hui +16
cs.CVeess.IVarXiv:2602.13344v22026
Densely Connected Pyramid Dehazing Network
He Zhang, Vishal M. Patel
cs.CVeess.IVarXiv:1803.08396v12018
Salt: Self-Consistent Distribution Matching with Cache-Aware Training for Fast Video Generation
Xingtong Ge, Yi Zhang, Yushi Huang +6
cs.CVeess.IVarXiv:2604.03118v22026
ECHO: Efficient Chest X-ray Report Generation with One-step Block Diffusion
Lifeng Chen, Tianqi You, Hao Liu +8
cs.LGcs.AIeess.IVarXiv:2604.09450v22026
Consistency Models for Fast MRI Reconstruction Using Regularization by Denoising
Merve Gülle, Junno Yun, Yaşar Utku Alçalar +1
eess.IVcs.AIcs.CVarXiv:2608.20561v12026
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision
Michael Niemeyer, Lars Mescheder, Michael Oechsle +1
cs.CVcs.LGeess.IVarXiv:1912.07372v22019
Summaries:한국어
Activating More Pixels in Image Super-Resolution Transformer
Xiangyu Chen, Xintao Wang, Jiantao Zhou +2
eess.IVcs.CVarXiv:2205.04437v32022
PointPainting: Sequential Fusion for 3D Object Detection
Sourabh Vora, Alex H. Lang, Bassam Helou +1
cs.CVcs.LGeess.IVarXiv:1911.10150v22019
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images
Deng-Ping Fan, Tao Zhou, Ge-Peng Ji +5
eess.IVcs.CVcs.LGarXiv:2004.14133v42020
ATTN-FIQA: Interpretable Attention-based Face Image Quality Assessment with Vision Transformers
Guray Ozgur, Tahar Chettaoui, Eduarda Caldeira +5
cs.CVeess.IVarXiv:2604.22841v12026
MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs
Alistair E. W. Johnson, Tom J. Pollard, Nathaniel R. Greenbaum +7
cs.CVcs.LGeess.IVarXiv:1901.07042v52019
Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
Mahmoud Assran, Quentin Duval, Ishan Misra +5
cs.CVcs.AIcs.LGarXiv:2301.08243v32023
CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images
Asif Iqbal Khan, Junaid Latief Shah, Mudasir Bhat
eess.IVcs.LGstat.MLarXiv:2004.04931v32020
Transformers in Medical Imaging: A Survey
Fahad Shamshad, Salman Khan, Syed Waqas Zamir +4
eess.IVcs.CVarXiv:2201.09873v12022
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer
Haonan Wang, Peng Cao, Jiaqi Wang +1
cs.CVcs.LGeess.IVarXiv:2109.04335v32021
Plug-and-Play Image Restoration with Deep Denoiser Prior
Kai Zhang, Yawei Li, Wangmeng Zuo +3
eess.IVcs.CVarXiv:2008.13751v22020
Learned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention Modules
Zhengxue Cheng, Heming Sun, Masaru Takeuchi +1
eess.IVarXiv:2001.01568v32020
LiVeAction: a Lightweight, Versatile, and Asymmetric Neural Codec Design for Real-time Operation
Dan Jacobellis, Neeraja J. Yadwadkar
eess.IVcs.LGcs.MMarXiv:2605.06628v12026
Denoising Diffusion Restoration Models
Bahjat Kawar, Michael Elad, Stefano Ermon +1
eess.IVcs.CVcs.LGarXiv:2201.11793v32022
ResUNet++: An Advanced Architecture for Medical Image Segmentation
Debesh Jha, Pia H. Smedsrud, Michael A. Riegler +4
eess.IVcs.CVarXiv:1911.07067v12019
The Replica Dataset: A Digital Replica of Indoor Spaces
Julian Straub, Thomas Whelan, Lingni Ma +27
cs.CVcs.GReess.IVarXiv:1906.05797v12019
Resolution-robust Large Mask Inpainting with Fourier Convolutions
Roman Suvorov, Elizaveta Logacheva, Anton Mashikhin +7
cs.CVeess.IVarXiv:2109.07161v22021

Image and Video Processing

Deep Semantic Segmentation of Natural and Medical Images: A Review

DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation

Single Image Super-Resolution via a Holistic Attention Network

Multi-Scale Progressive Fusion Network for Single Image Deraining

Spanning the Visual Analogy Space with a Weight Basis of LoRAs

PadChest: A large chest x-ray image dataset with multi-label annotated reports

Video Generation Models as World Models: Efficient Paradigms, Architectures and Algorithms

COVID-19 Image Data Collection: Prospective Predictions Are the Future

DVC: An End-to-end Deep Video Compression Framework

DM4CT: Benchmarking Diffusion Models for Computed Tomography Reconstruction

Neural Style Transfer: A Review

CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

The Creation and Detection of Deepfakes: A Survey

From Scale to Speed: Adaptive Test-Time Scaling for Image Editing

A Survey of Modern Deep Learning based Object Detection Models

Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

FireRed-OCR Technical Report

U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Medical Image Segmentation Review: The success of U-Net

Designing a Practical Degradation Model for Deep Blind Image Super-Resolution

"Zero-Shot" Super-Resolution using Deep Internal Learning

Leveraging Frequency Analysis for Deep Fake Image Recognition

UNeXt: MLP-based Rapid Medical Image Segmentation Network

A large annotated medical image dataset for the development and evaluation of segmentation algorithms

Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation

Domain Adaptation for Medical Image Analysis: A Survey

Frozen CLIP Priors for Robust Self-Supervised Poisson Inverse Problems

Sparse Light Field Sampling Improves Casual 3D and 4D Reconstruction

VM-UNet: Vision Mamba UNet for Medical Image Segmentation

A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises

COVID-19 Image Data Collection

Toward Vision Language Model-based Assessment of Clinical Quality and Usability of LGE-MR Images for Cardiac Ablation Planning

COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images

A survey of loss functions for semantic segmentation

GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing

FireRed-Image-Edit-1.0 Technical Report

Densely Connected Pyramid Dehazing Network

Salt: Self-Consistent Distribution Matching with Cache-Aware Training for Fast Video Generation

ECHO: Efficient Chest X-ray Report Generation with One-step Block Diffusion

Consistency Models for Fast MRI Reconstruction Using Regularization by Denoising

Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision

Activating More Pixels in Image Super-Resolution Transformer

PointPainting: Sequential Fusion for 3D Object Detection

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images

ATTN-FIQA: Interpretable Attention-based Face Image Quality Assessment with Vision Transformers

MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture

CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images

Transformers in Medical Imaging: A Survey

UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer

Plug-and-Play Image Restoration with Deep Denoiser Prior

Learned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention Modules

LiVeAction: a Lightweight, Versatile, and Asymmetric Neural Codec Design for Real-time Operation

Denoising Diffusion Restoration Models

ResUNet++: An Advanced Architecture for Medical Image Segmentation

The Replica Dataset: A Digital Replica of Indoor Spaces

Resolution-robust Large Mask Inpainting with Fourier Convolutions