Awesome-ICCV2023-Low-Level-Vision

A Collection of Papers and Codes in ICCV2023 related to Low-Level Vision

[In Construction] If you find some missing papers or typos, feel free to pull issues or requests.

Related collections for low-level vision

• Awesome-ICCV2021-Low-Level-Vision
• Awesome-CVPR2023/2022-Low-Level-Vision
• Awesome-NeurIPS2022/2021-Low-Level-Vision
• Awesome-ECCV2022-Low-Level-Vision
• Awesome-AAAI2022-Low-Level-Vision
• Awesome-CVPR2021/2020-Low-Level-Vision
• Awesome-ECCV2020-Low-Level-Vision

Overview

• Image Restoration

  • Video Restoration

• Super Resolution

  • Image Super Resolution
  • Video Super Resolution

• Image Rescaling

• Denoising

  • Image Denoising

• Deblurring

  • Image Deblurring
  • Video Deblurring

• Deraining

• Dehazing

• Demosaicing

• HDR Imaging / Multi-Exposure Image Fusion

• Frame Interpolation

• Image Enhancement

  • Low-Light Image Enhancement

• Image Harmonization

• Image Completion/Inpainting

• Image Stitching

• Image Compression

• Image Quality Assessment

• Style Transfer

• Image Editing

• Image Generation/Synthesis/ Image-to-Image Translation

  • Video Generation

• Others

Image Restoration

SYENet: A Simple Yet Effective Network for Multiple Low-Level Vision Tasks with Real-time Performance on Mobile Device

• Paper: https://arxiv.org/abs/2308.08137
• Code: https://github.com/sanechips-multimedia/syenet

DiffIR: Efficient Diffusion Model for Image Restoration

• Paper: https://arxiv.org/abs/2303.09472
• Code: https://github.com/Zj-BinXia/DiffIR
• Tags: Diffusion

PIRNet: Privacy-Preserving Image Restoration Network via Wavelet Lifting

• Paper: ICCV Open Access Version
• Code: https://github.com/gclonghorn/PIRNet

Focal Network for Image Restoration

• Paper: ICCV Open Access Version
• Code: https://github.com/c-yn/FocalNet

Learning Image-Adaptive Codebooks for Class-Agnostic Image Restoration

• Paper: https://arxiv.org/abs/2306.06513

Under-Display Camera Image Restoration with Scattering Effect

• Paper: https://arxiv.org/abs/2308.04163
• Code: https://github.com/NamecantbeNULL/SRUDC
• Tags: Under-Display Camera

FSI: Frequency and Spatial Interactive Learning for Image Restoration in Under-Display Cameras

• Paper: ICCV Open Access Version
• Tags: Under-Display Camera

Multi-weather Image Restoration via Domain Translation

• Paper: ICCV Open Access Version
• Code: https://github.com/pwp1208/Domain_Translation_Multi-weather_Restoration
• Tags: Multi-weather

Adverse Weather Removal with Codebook Priors

• Paper: ICCV Open Access Version
• Tags: Adverse Weather Removal

Towards Authentic Face Restoration with Iterative Diffusion Models and Beyond

• Paper: https://arxiv.org/abs/2307.08996
• Tags: Authentic Face Restoration, Diffusion

Improving Lens Flare Removal with General Purpose Pipeline and Multiple Light Sources Recovery

• Paper: https://arxiv.org/abs/2308.16460
• Code: https://github.com/YuyanZhou1/Improving-Lens-Flare-Removal
• Tags: Flare Removal

High-Resolution Document Shadow Removal via A Large-Scale Real-World Dataset and A Frequency-Aware Shadow Erasing Net

• Paper: https://arxiv.org/abs/2308.14221
• Code: https://github.com/CXH-Research/DocShadow-SD7K
• Tags: Document Shadow Removal

Boundary-Aware Divide and Conquer: A Diffusion-Based Solution for Unsupervised Shadow Removal

• Paper: ICCV Open Access Version
• Tags: Shadow Removal

Leveraging Inpainting for Single-Image Shadow Removal

• Paper: https://arxiv.org/abs/2302.05361
• Tags: Shadow Removal

Fine-grained Visible Watermark Removal

• Paper: https://openaccess.thecvf.com/content/ICCV2023/html/Niu_Fine-grained_Visible_Watermark_Removal_ICCV_2023_paper.html
• Tags: Watermark Removal

Physics-Driven Turbulence Image Restoration with Stochastic Refinement

• Paper: https://arxiv.org/abs/2307.10603
• Code: https://github.com/VITA-Group/PiRN
• Tags: Turbulence Image

Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild

• Paper: ICCV Open Access Version
• Code: https://github.com/Shaocr/Building-Bridge-Across-the-Time-Disruption-and-Restoration-of-Murals-In-the-Wild
• Tags: Murals Restoration

DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration

• Paper: https://arxiv.org/abs/2303.06682
• Code: https://github.com/miaoyuchun/DDS2M
• Tags: Diffusion, Hyperspectral

Fingerprinting Deep Image Restoration Models

• Paper: ICCV Open Access Version

Self-supervised Monocular Underwater Depth Recovery, Image Restoration, and a Real-sea Video Dataset

• Paper: ICCV Open Access Version
• Code: https://github.com/nishavarghese15/DRUVA

Image Reconstruction

Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction

• Paper: https://arxiv.org/abs/2308.10820
• Code: https://github.com/MyuLi/PADUT

Video Restoration

Snow Removal in Video: A New Dataset and A Novel Method

• Paper: ICCV Open Access Version
• Code: https://github.com/haoyuc/VideoDesnowing
• Tags: Desnowing

Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation

• Paper: https://arxiv.org/abs/2309.13700
• Code: https://github.com/scott-yjyang/ViWS-Net

Fast Full-frame Video Stabilization with Iterative Optimization

• Paper: https://arxiv.org/abs/2307.12774
• Code: https://github.com/zwyking/Fast-Stab
• Tags: Video Stabilization

Minimum Latency Deep Online Video Stabilization

• Paper: https://arxiv.org/abs/2212.02073
• Code: https://github.com/liuzhen03/NNDVS
• Tags: Video Stabilization

Task Agnostic Restoration of Natural Video Dynamics

• Paper: https://arxiv.org/abs/2206.03753
• Code: https://github.com/MKashifAli/TARONVD

[Back-to-Overview]

Super Resolution

Image Super Resolution

On the Effectiveness of Spectral Discriminators for Perceptual Quality Improvement

• Paper: https://arxiv.org/abs/2307.12027
• Code: https://github.com/Luciennnnnnn/DualFormer

SRFormer: Permuted Self-Attention for Single Image Super-Resolution

• Paper: https://arxiv.org/abs/2303.09735
• Code: https://github.com/HVision-NKU/SRFormer

DLGSANet: Lightweight Dynamic Local and Global Self-Attention Network for Image Super-Resolution

• Paper: https://arxiv.org/abs/2301.02031
• Code: https://github.com/NeonLeexiang/DLGSANet

Dual Aggregation Transformer for Image Super-Resolution

• Paper: https://arxiv.org/abs/2308.03364
• Code: https://github.com/zhengchen1999/DAT

MSRA-SR: Image Super-resolution Transformer with Multi-scale Shared Representation Acquisition

• Paper: ICCV Open Access Version

Content-Aware Local GAN for Photo-Realistic Super-Resolution

• Paper: https://openaccess.thecvf.com/content/ICCV2023/html/Park_Content-Aware_Local_GAN_for_Photo-Realistic_Super-Resolution_ICCV_2023_paper.html
• Code: https://github.com/jkpark0825/CAL
• Tags: GAN

Boosting Single Image Super-Resolution via Partial Channel Shifting

• Paper: ICCV Open Access Version
• Code: https://github.com/OwXiaoM/_PCS

Feature Modulation Transformer: Cross-Refinement of Global Representation via High-Frequency Prior for Image Super-Resolution

• Paper: https://arxiv.org/abs/2308.05022
• Code: https://github.com/AVC2-UESTC/CRAFT-SR

Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution

• Paper: https://arxiv.org/abs/2302.13800
• Code: https://github.com/sunny2109/SAFMN
• Tags: Efficient

Lightweight Image Super-Resolution with Superpixel Token Interaction

• Paper: ICCV Open Access Version
• Code: https://github.com/ArcticHare105/SPIN
• Tags: Lightweight

Reconstructed Convolution Module Based Look-Up Tables for Efficient Image Super-Resolution

• Paper: https://arxiv.org/abs/2307.08544
• Code: https://github.com/liuguandu/RC-LUT
• Tags: Efficient

Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution

• Paper: https://arxiv.org/abs/2211.13654
• Code: https://github.com/Jiamian-Wang/Iterative-Soft-Shrinkage-SR
• Tags: Efficient

MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces

• Paper: https://arxiv.org/abs/2309.08113
• Code: https://github.com/yinzhicun/MetaF2N
• Tags: Blind

Learning Correction Filter via Degradation-Adaptive Regression for Blind Single Image Super-Resolution

• Paper: ICCV Open Access Version
• Code: https://github.com/edbca/DARSR
• Tags: Blind

LMR: A Large-Scale Multi-Reference Dataset for Reference-Based Super-Resolution

• Paper: https://arxiv.org/abs/2303.04970
• Tags: Reference-Based

Real-CE: A Benchmark for Chinese-English Scene Text Image Super-resolution

• Paper: https://arxiv.org/abs/2308.03262
• Code: https://github.com/mjq11302010044/Real-CE
• Tags: Text SR

Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution

• Paper: https://arxiv.org/abs/2302.08058
• Code: https://github.com/ZhengyuLiang24/EPIT
• Tags: Light Field

Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution

• Paper: https://arxiv.org/abs/2303.08942
• Code: https://github.com/Zhaozixiang1228/GDSR-SSDNet
• Tags: Depth Map

HSR-Diff: Hyperspectral Image Super-Resolution via Conditional Diffusion Models

• Paper: ICCV Open Access Version
• Tags: Hyperspectral, Diffusion

ESSAformer: Efficient Transformer for Hyperspectral Image Super-resolution

• Paper: https://arxiv.org/abs/2307.14010
• Code: https://github.com/Rexzhan/ESSAformer
• Tags: Hyperspectral

Rethinking Multi-Contrast MRI Super-Resolution: Rectangle-Window Cross-Attention Transformer and Arbitrary-Scale Upsampling

• Paper: ICCV Open Access Version
• Tags: MRI

Decomposition-Based Variational Network for Multi-Contrast MRI Super-Resolution and Reconstruction

• Paper: ICCV Open Access Version
• Code: https://github.com/lpcccc-cv/MC-VarNet
• Tags: MRI

CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image Arbitrary-Scale Super Resolution

• Paper: https://arxiv.org/abs/2303.16242
• Code: https://github.com/NarcissusEx/CuNeRF
• Tags: Medical, NeRF

Burst Super Resolution

Towards Real-World Burst Image Super-Resolution: Benchmark and Method

• Paper: https://arxiv.org/abs/2309.04803
• Code: https://github.com/yjsunnn/FBANet
• Tag: