Collect some super-resolution related papers, data and repositories.
Note this table is referenced from here
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 |
| Deep Burst Super-Resolution | BurstSR | arxiv | - | multi-frame sr, new BurstSR dataset |
| 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 |