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

Collect super-resolution related papers, data, repositories

Related tags

Overview

Quick navigation

Awesome-Super-Resolution（in progress）

papers

DL based approach

2021

Owner

WangChaofeng

PyTorch implementation of "A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."

The official implementation of ICCV paper "Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds".

Code to replicate the key results from Exploring the Limits of Out-of-Distribution Detection

public repo for ESTER dataset and modeling (EMNLP'21)

Processed, version controlled history of Minecraft's generated data and assets

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

Code for a seq2seq architecture with Bahdanau attention designed to map stereotactic EEG data from human brains to spectrograms, using the PyTorch Lightning.

Official implementation of Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble Models at NeurIPS 2021

iNAS: Integral NAS for Device-Aware Salient Object Detection

Causal estimators for use with WhyNot

Cross-platform CLI tool to generate your Github profile's stats and summary.

GANsformer: Generative Adversarial Transformers Drew A

Vision Deep-Learning using Tensorflow, Keras.

This is the code for HOI Transformer

SAT Project - The first project I had done at General Assembly, performed EDA, data cleaning and created data visualizations

Deep Latent Force Models

Torch implementation of SegNet and deconvolutional network

PyG (PyTorch Geometric) - A library built upon PyTorch to easily write and train Graph Neural Networks (GNNs)

Like a cowsay but without cows!

Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)