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Awesome-CVPR2021-Low-Level-VisionAwesome

整理汇总下今年CVPR图像重建(Image Reconstruction)/底层视觉(Low-Level Vision)相关的论文和代码,括超分辨率,图像去雨,图像去雾,去模糊,去噪,图像恢复,图像增强,图像去摩尔纹,图像修复,图像质量评价,插帧,图像/视频压缩等任务。大家如果觉得有帮助,欢迎star~~

参考或转载请注明出处

CVPR2021官网:http://cvpr2021.thecvf.com

CVPR完整论文列表:https://openaccess.thecvf.com/CVPR2021

开会时间:2021年6月19日-6月25日

论文接收公布时间:2021年2月28日

【Contents】

1.超分辨率(Super-Resolution)

Unsupervised Degradation Representation Learning for Blind Super-Resolution

Data-Free Knowledge Distillation For Image Super-Resolution

AdderSR: Towards Energy Efficient Image Super-Resolution

Exploring Sparsity in Image Super-Resolution for Efficient Inference

ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic

Cross-MPI: Cross-scale Stereo for Image Super-Resolution using Multiplane Images

LAU-Net: Latitude Adaptive Upscaling Network for Omnidirectional Image Super-resolution

Learning Continuous Image Representation with Local Implicit Image Function

Temporal Modulation Network for Controllable Space-Time Video Super-Resolution

Robust Reference-based Super-Resolution via C²-Matching

GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution

BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond

Video Rescaling Networks with Joint Optimization Strategies for Downscaling and Upscaling

MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution

Flow-based Kernel Prior with Application to Blind Super-Resolution

Interpreting Super-Resolution Networks with Local Attribution Maps

SRWarp: Generalized Image Super-Resolution under Arbitrary Transformation

KOALAnet: Blind Super-Resolution using Kernel-Oriented Adaptive Local Adjustment

Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and Baseline

Tackling the Ill-Posedness of Super-Resolution Through Adaptive Target Generation

Image Super-Resolution With Non-Local Sparse Attention

Unsupervised Real-World Image Super Resolution via Domain-Distance Aware Training

Single Pair Cross-Modality Super Resolution

Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution

Deep Burst Super-Resolution

Learning the Non-Differentiable Optimization for Blind Super-Resolution

Light Field Super-Resolution With Zero-Shot Learning

Space-Time Distillation for Video Super-Resolution

EventZoom: Learning To Denoise and Super Resolve Neuromorphic Events

MR Image Super-Resolution With Squeeze and Excitation Reasoning Attention Network

Turning Frequency to Resolution: Video Super-Resolution via Event Cameras

Fast Bayesian Uncertainty Estimation and Reduction of Batch Normalized Single Image Super-Resolution Network

Practical Single-Image Super-Resolution Using Look-Up Table

Interpreting Super-Resolution Networks With Local Attribution Maps

Scene Text Telescope: Text-Focused Scene Image Super-Resolution

GAN Prior Embedded Network for Blind Face Restoration in the Wild

2.图像去雨(Image Deraining)

Removing Raindrops and Rain Streaks in One Go

From Rain Generation to Rain Removal

Semi-Supervised Video Deraining Embedded with Dynamical Rain Generator

Closing the Loop: Joint Rain Generation and Removal via Disentangled Image Translation

3.图像去雾(Image Dehazing)

Learning to Restore Hazy Video: A New Real-World Dataset and A New Method

ContrastiveLearning for Compact Single Image Dehazing

4.去模糊(Deblurring)

DeFMO: Deblurring and Shape Recovery of Fast Moving Objects

ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring

Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes

Explore Image Deblurring via Blur Kernel Space

Digital Gimbal: End-to-end Deep Image Stabilization with Learnable Exposure Times

5.去噪(Denoising)

Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images

NBNet: Noise Basis Learning for Image Denoising with Subspace Projection

Beyond Joint Demosaicking and Denoising

Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments

Invertible Denoising Network: A Light Solution for Real Noise Removal

FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise

6.图像恢复(Image Restoration)

Multi-Stage Progressive Image Restoration

CT Film Recovery via Disentangling Geometric Deformation and Illumination Variation: Simulated Datasets and Deep Models

Restoring Extremely Dark Images in Real Time

Dual Pixel Exploration: Simultaneous Depth Estimation and Image Restoration

Progressive Semantic-Aware Style Transformation for Blind Face Restoration

Towards Real-World Blind Face Restoration with Generative Facial Prior

GFP-GAN: Towards Real-World Blind Face Restoration with Generative Facial Prior

7.图像增强(Image Enhancement)

Auto-Exposure Fusion for Single-Image Shadow Removal

Learning Multi-Scale Photo Exposure Correction

Robust Reflection Removal with Reflection-free Flash-only Cues

Learning Temporal Consistency for Low Light Video Enhancement from Single Images

Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network

From Shadow Generation to Shadow Removal

PPR10K: A Large-Scale Portrait Photo Retouching Dataset with Human-Region Mask and Group-Level Consistency

8.图像去摩尔纹(Image Demoireing)

9.图像修复(Inpainting)

PD-GAN:Probabilistic Diverse GAN for Image Inpainting

Generating Diverse Structure for Image Inpainting with Hierarchical VQ-VAE

Image Inpainting with External-internal Learning and Monochromic Bottleneck

Progressive Temporal Feature Alignment Network for Video Inpainting

TransFill: Reference-guided Image Inpainting by Merging Multiple Color and Spatial Transformations

GFP-GAN: Towards Real-World Blind Face Restoration with Generative Facial Prior

10.图像质量评价(Image Quality Assessment)

SDD-FIQA:Unsupervised Face Image Quality Assessment with Similarity DistributionDistance

Neural Side-by-Side: Predicting Human Preferences for No-Reference Super-Resolution Evaluation

11.插帧(Frame Interpolation)

FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation

CDFI: Compression-driven Network Design for Frame Interpolation

DeFMO: Deblurring and Shape Recovery of Fast Moving Objects

Deep Animation Video Interpolation in the Wild

12.视频/图像压缩(Video/Image Compression)

MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing

FVC: A New Framework towards Deep Video Compression in Feature Space

Deep Learning in Latent Space for Video Prediction and Compression

Deep Perceptual Preprocessing for Video Coding

Checkerboard Context Model for Efficient Learned Image Compression

Slimmable Compressive Autoencoders for Practical Neural Image Compression

Attention-guided Image Compression by Deep Reconstruction of Compressive Sensed Saliency Skeleton

Deep Homography for Efficient Stereo Image Compression

How To Exploit the Transferability of Learned Image Compression to Conventional Codecs

Learning Scalable lY=-Constrained Near-Lossless Image Compression via Joint Lossy Image and Residual Compression

Asymmetric Gained Deep Image Compression With Continuous Rate Adaptation

13.其他多任务

Pre-Trained Image Processing Transformer

Invertible Image Signal Processing

End-to-End Learning for Joint Image Demosaicing, Denoising and Super-Resolution

持续更新~

参考

[1] CVPR 2021 结果出炉!最新71篇CVPR'21论文汇总(更新中)

[2] CVPR2021最新信息及已接收论文/代码(持续更新)

[3] 15分钟看完:悉尼科技大学入选 CVPR 2021 的 13 篇论文,都研究什么?

[4] CVPR 2021放榜,腾讯优图20篇论文都在这里了

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