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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

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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

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Awesome-Super-Resolution（in progress）

papers

DL based approach

2021

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WangChaofeng

CCP dataset from Clothing Co-Parsing by Joint Image Segmentation and Labeling

Code for the paper "Generative design of breakwaters usign deep convolutional neural network as a surrogate model"

Repo for 2021 SDD assessment task 2, by Felix, Anna, and James.

Robust and Accurate Object Detection via Self-Knowledge Distillation

Multi-objective constrained optimization for energy applications via tree ensembles

Code for "Optimizing risk-based breast cancer screening policies with reinforcement learning"

KDD CUP 2020 Automatic Graph Representation Learning: 1st Place Solution

Official pytorch implementation of "DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion"

Audio Source Separation is the process of separating a mixture into isolated sounds from individual sources

Yolov5 + Deep Sort with PyTorch

Disease Informed Neural Networks (DINNs) — neural networks capable of learning how diseases spread, forecasting their progression, and finding their unique parameters (e.g. death rate).

Digital Twin Mobility Profiling: A Spatio-Temporal Graph Learning Approach

This repository is an implementation of our NeurIPS 2021 paper (Stylized Dialogue Generation with Multi-Pass Dual Learning) in PyTorch.

DeepSpamReview: Detection of Fake Reviews on Online Review Platforms using Deep Learning Architectures. Summer Internship project at CoreView Systems.

통일된 DataScience 폴더 구조 제공 및 가상환경 작업의 부담감 해소

Source Code for ICSE 2022 Paper - ``Can We Achieve Fairness Using Semi-Supervised Learning?''

Classification of EEG data using Deep Learning

An example to implement a new backbone with OpenMMLab framework.

Official implementation of the PICASO: Permutation-Invariant Cascaded Attentional Set Operator

Source code for our Paper "Learning in High-Dimensional Feature Spaces Using ANOVA-Based Matrix-Vector Multiplication"