Collect super-resolution related papers, data, repositories

Overview

Quick navigation

Awesome-Super-Resolution(in progress)

Collect some super-resolution related papers, data and repositories.

papers

DL based approach

Note this table is referenced from here

2021

More years papers, plase check Quick navigation

Title Model Published Code Keywords
Trilevel Neural Architecture Search for Efficient Single Image Super-Resolution TrilevelNAS arxiv - Trilevel Architecture Search Space
SplitSR: An End-to-End Approach to Super-Resolution on Mobile Devices SplitSR arxiv - lightweight,on Mobile Devices
Learning for Unconstrained Space-Time Video Super-Resolution USTVSRNet arxiv - VSR, Unconstrained video super-resolution,general-ized pixelshuffle layer.
ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic ClassSR cvpr21 code classification,lightweight
Learning Frequency-aware Dynamic Network for Efficient Super-Resolution FADN arxiv - Efficient SR,DCT,Mask Predictor,dynamic resblocks,frequency mask loss
Collapsible Linear Blocks for Super-Efficient Super Resolution SESR arxiv - Super-Efficient SR, overparameterization
Self-Supervised Adaptation for Video Super-Resolution Adapted VSR arxiv - VSR, Self-Supervised Adaptationn
Generic Perceptual Loss for Modeling Structured Output Dependencies Generic Perceptual Loss cvpr21 - Random VGG w/o pretrianed, work at semantic segmentation, depthestimation and instance segmentation
Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling U3D-RDN AAAI21 - VSR, Dual Subnet, Multi-stage Communicated Up-sampling
UltraSR: Spatial Encoding is a Missing Key for Implicit Image Function-based Arbitrary-Scale Super-Resolution UltraSR arxiv - Implicit Image Function Based, Arbitrary-Scale
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution BSRNet/BSRGAN arxiv - randomly shuffled blur, downsampling and noise degradations for degradation model
D2C-SR: A Divergence to Convergence Approach for Image Super-Resolution D2C-SR arxiv - RealSR, divergence stage with a triple loss ,convergence stage
Training a Better Loss Function for Image Restoration MDF loss arxiv code Multi-Scale Discriminative Feature loss
Transitive Learning: Exploring the Transitivity of Degradations for Blind Super-Resolution TLSR arxiv code Blind SR, Transitive Learning
Omniscient Video Super-Resolution OVSR arxiv - VSR, new framework, precursor net and successor net
Best-Buddy GANs for Highly Detailed Image Super-Resolution Beby-GAN arxiv code relaxing the immutable one-to-one constraint, Best-Buddy Loss
Flow-based Kernel Prior with Application to Blind Super-Resolution FKP cvpr21 code Blind SR, flow-based kernel prio
Efficient Video Compression via Content-Adaptive Super-Resolution SRVC arxiv - Video Compression, Adaptive Conv
Conditional Meta-Network for Blind Super-Resolution with Multiple Degradations CMDSR arxiv - Blind SR, Conditional Meta-Network
Image Super-Resolution via Iterative Refinement SR3 arxiv - Repeated Refinement, better than SOTA GAN
BAM: A Lightweight and Efficient Balanced Attention Mechanism for Single Image Super Resolution BAM arxiv code balanced Attention Mechanism
Kernel Agnostic Real-world Image Super-resolution KASR arxiv - realsr, Kernel Agnostic
Neural Architecture Search for Image Super-Resolution Using Densely Constructed Search Space: DeCoNAS DeCoNAS arxiv - Densely Constructed Search Space
Attention in Attention Network for Image Super-Resolution A2N arxiv code Attention in Attention, lightweight
Temporal Modulation Network for Controllable Space-Time Video Super-Resolution TMNet arxiv code VSR, interpolate frames, Temporal Modulation Block
A Two-Stage Attentive Network for Single Image Super-Resolution TSAN arxiv code SISR, multi-context attentiveblock
BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment BasicVSR++ arxiv code VSR, 3 champions and 1 runner-up in NTIRE 2021
SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models SRDiff arxiv Diffusion Probabilistic Models
SRWarp: Generalized Image Super-Resolution under Arbitrary Transformation SRWarp cvpr21 code arbitrary transformation
Cross-MPI: Cross-scale Stereo for Image Super-Resolutionusing Multiplane Images Cross-MPI cvpr21 - RefSR, plane-aware attention, coarse-to-fine guided upsampling
Lightweight Image Super-Resolution with Hierarchical and DifferentiableNeural Architecture Search DLSR arxiv code Lightweight
HINet: Half Instance Normalization Network for Image Restoration HINet arxiv - Half Instance Normalization Block, 1st place on the NTIRE 2021 Image Deblurring Challenge - Track2. JPEG Artifacts
FDAN: Flow-guided Deformable Alignment Network for Video Super-Resolution FDAN arxiv - VSR, Flowguided Deformable Module
End-to-end Alternating Optimization for Blind Super Resolution DAN arxiv code Blind SR, Restorer and Estimator Alternating Optimization
Anchor-based Plain Net for Mobile Image Super-Resolution ABPN arxiv code MAI2021, mobile device SISR, INT8 Quantization
Extremely Lightweight Quantization RobustReal-Time Single-Image Super Resolution for Mobile Devices XLSR arxiv - MAI2021, mobile device SISR Winner, INT8 Quantization
Fourier Space Losses for Efficient Perceptual Image Super-Resolution - arxiv - Fourier space supervision loss
Robust Reference-based Super-Resolution via C2-Matching C2-Matching arxiv code RefSR, ransformation gap, contrastive correspondence network, resolution gap, teacher-student correlation distillation
MASA-SR: Matching Acceleration and Spatial Adaptation forReference-Based Image Super-Resolution MASA-SR cvpr21 code RefSR, Match & Extraction Module , Spatial Adaptation Module
Noise Conditional Flow Model for Learning the Super-Resolution Space NCSR arxiv code better than GAN-based model,Flow-based, noise conditional layer
Variational AutoEncoder for Reference based Image Super-Resolution RefVAE arxiv code Variational AutoEncoder, refsr
Video Super-Resolution Transformer VSR-Transformer arxiv code VSR, spatial-temporal convolutional self-attention layer, bidirectional optical flow-based feed-forward layer
Practical Single-Image Super-Resolution Using Look-Up Table SR-LUT cvpr21 - SISR, fater than Bicubic, look-up table
Towards Fast and Accurate Real-World Depth Super-Resolution: BenchmarkDataset and Baseline FDSR cvpr21 - depth map SR
Image Super-Resolution with Non-Local Sparse Attention NLSN cvpr21 - Non-Local Sparse Attention, Spherical LSH
Learning the Non-differentiable Optimization for Blind Super-Resolution AMNet, AMGAN cvpr21 - Blind SR, non-differentiable, adap-tive modulation network
KOALAnet: Blind Super-Resolution using Kernel-Oriented Adaptive Local Adjustment KOALAnet cvpr21 - Blind SR, kernel-oriented adaptive local adjustment, learns spatially-variant degradation and restoration kernels
Exploring Sparsity in Image Super-Resolution for Efficient Inference SMSR cvpr21 code Sparse Masks, Efficient SISR
LAU-Net: Latitude Adaptive Upscaling Network for Omnidirectional Image Super-resolution LAU-Net cvpr21 code Omnidirectional Image SR
Tackling the Ill-Posedness of Super-Resolution through Adaptive Target Generation AdaTarget cvpr21 code Adaptive Target Generator
Single Pair Cross-Modality Super Resolution CMSR cvpr21 - single-pair,Cross-Modality
End-to-End Learning for Joint Image Demosaicing, Denoising and Super-Resolution JDNDMSR cvpr21 - joint tasks
MR Image Super-Resolution with Squeeze and Excitation Reasoning Attention SERAN cvpr21 - MRI SR, squeeze and excitation reasoning attention networks
Light Field Super-Resolution with Zero-Shot Learning - cvpr21 - zero shot, light field SR
Scene Text Telescope: Text-Focused Scene Image Super-Resolution TBSRN cvpr21 - text-focused SR
Interpreting Super-Resolution Networks with Local Attribution Maps LAM cvpr21 - Interpreting SR,local attribution map
Turning Frequency to Resolution: Video Super-resolution via Event Cameras E-VSR cvpr21 - VSR, Event-based VSR
GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution GLEAN cvpr21 - Latent Bank, large scale factor
BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond BasicVSR cvpr21 - VideoSR, The Search for Essential Components
AdderSR: Towards Energy Efficient Image Super-Resolution AdderSR cvpr21 - SISR, adder neural networks, Energy Efficient
Deep Burst Super-Resolution BurstSR cvpr21 - multi-frame sr, new BurstSR dataset
Pre-Trained Image Processing Transformer IPT cvpr21 Pre-Trained Image Processing Transformer, Imagenet pretrained, dramatically improve performance
Blind Image Super-Resolution via ContrastiveRepresentation Learning CRL-SR arxiv - blind SR, contrastive decoupling encoding, contrastive feature refinement
Owner
WangChaofeng
WangChaofeng
pyspark🍒🥭 is delicious,just eat it!😋😋

如何用10天吃掉pyspark? 🔥 🔥 《10天吃掉那只pyspark》 🚀

lyhue1991 578 Dec 30, 2022
Multi-modal Vision Transformers Excel at Class-agnostic Object Detection

Multi-modal Vision Transformers Excel at Class-agnostic Object Detection

Muhammad Maaz 206 Jan 04, 2023
Multi-layer convolutional LSTM with Pytorch

Convolution_LSTM_pytorch Thanks for your attention. I haven't got time to maintain this repo for a long time. I recommend this repo which provides an

Zijie Zhuang 734 Jan 03, 2023
[RSS 2021] An End-to-End Differentiable Framework for Contact-Aware Robot Design

DiffHand This repository contains the implementation for the paper An End-to-End Differentiable Framework for Contact-Aware Robot Design (RSS 2021). I

Jie Xu 60 Jan 04, 2023
object recognition with machine learning on Respberry pi

Respberrypi_object-recognition object recognition with machine learning on Respberry pi line.py 建立一支與樹梅派連線的 linebot 使用此 linebot 遠端控制樹梅派拍照 config.ini l

1 Dec 11, 2021
Memory Defense: More Robust Classificationvia a Memory-Masking Autoencoder

Memory Defense: More Robust Classificationvia a Memory-Masking Autoencoder Authors: - Eashan Adhikarla - Dan Luo - Dr. Brian D. Davison Abstract Many

Eashan Adhikarla 4 Dec 25, 2022
Shallow Convolutional Neural Networks for Human Activity Recognition using Wearable Sensors

-IEEE-TIM-2021-1-Shallow-CNN-for-HAR [IEEE TIM 2021-1] Shallow Convolutional Neural Networks for Human Activity Recognition using Wearable Sensors All

Wenbo Huang 1 May 17, 2022
This library contains a Tensorflow implementation of the paper Stability Analysis of Unfolded WMMSE for Power Allocation

UWMMSE-stability Tensorflow implementation of Stability Analysis of UWMMSE Overview This library contains a Tensorflow implementation of the paper Sta

Arindam Chowdhury 1 Nov 16, 2022
Greedy Gaussian Segmentation

GGS Greedy Gaussian Segmentation (GGS) is a Python solver for efficiently segmenting multivariate time series data. For implementation details, please

Stanford University Convex Optimization Group 72 Dec 07, 2022
Ejemplo Algoritmo Viterbi - Example of a Viterbi algorithm applied to a hidden Markov model on DNA sequence

Ejemplo Algoritmo Viterbi Ejemplo de un algoritmo Viterbi aplicado a modelo ocul

Mateo Velásquez Molina 1 Jan 10, 2022
A smaller subset of 10 easily classified classes from Imagenet, and a little more French

Imagenette 🎶 Imagenette, gentille imagenette, Imagenette, je te plumerai. 🎶 (Imagenette theme song thanks to Samuel Finlayson) NB: Versions of Image

fast.ai 718 Jan 01, 2023
PyTorch GPU implementation of the ES-RNN model for time series forecasting

Fast ES-RNN: A GPU Implementation of the ES-RNN Algorithm A GPU-enabled version of the hybrid ES-RNN model by Slawek et al that won the M4 time-series

Kaung 305 Jan 03, 2023
ONNX Command-Line Toolbox

ONNX Command Line Toolbox Aims to improve your experience of investigating ONNX models. Use it like onnx infershape /path/to/model.onnx. (See the usag

黎明灰烬 (王振华 Zhenhua WANG) 23 Nov 13, 2022
deep learning model with only python and numpy with test accuracy 99 % on mnist dataset and different optimization choices

deep_nn_model_with_only_python_100%_test_accuracy deep learning model with only python and numpy with test accuracy 99 % on mnist dataset and differen

0 Aug 28, 2022
This is a file about Unet implemented in Pytorch

Unet this is an implemetion of Unet in Pytorch and it's architecture is as follows which is the same with paper of Unet component of Unet Convolution

Dragon 1 Dec 03, 2021
Style transfer between images was performed using the VGG19 model

Style transfer between images was performed using the VGG19 model. The necessary codes, libraries and all other information of this project are available below

Onur yılmaz 2 May 09, 2022
Robust and Accurate Object Detection via Self-Knowledge Distillation

Robust and Accurate Object Detection via Self-Knowledge Distillation paper:https://arxiv.org/abs/2111.07239 Environments Python 3.7 Cuda 10.1 Prepare

Weipeng Xu 6 Jul 01, 2022
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks

Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks (SDPoint) This repository contains the cod

Jason Kuen 17 Jul 04, 2022
MATLAB codes of the book "Digital Image Processing Fourth Edition" converted to Python

Digital Image Processing Python MATLAB codes of the book "Digital Image Processing Fourth Edition" converted to Python TO-DO: Refactor scripts, curren

Merve Noyan 24 Oct 16, 2022
Trainable PyTorch reproduction of AlphaFold 2

OpenFold A faithful PyTorch reproduction of DeepMind's AlphaFold 2. Features OpenFold carefully reproduces (almost) all of the features of the origina

AQ Laboratory 1.7k Dec 29, 2022