SOTAVerified

Video Super-Resolution

Video Super-Resolution is a computer vision task that aims to increase the resolution of a video sequence, typically from lower to higher resolutions. The goal is to generate high-resolution video frames from low-resolution input, improving the overall quality of the video.

( Image credit: Detail-revealing Deep Video Super-Resolution )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–250 of 281 papers

TitleStatusHype
Deep Learning Techniques for Super-Resolution in Video Games—0
EVRNet: Efficient Video Restoration on Edge Devices—0
BasicVSR: The Search for Essential Components in Video Super-Resolution and BeyondCode3
DeFMO: Deblurring and Shape Recovery of Fast Moving ObjectsCode1
Learnable Sampling 3D Convolution for Video Enhancement and Action Recognition—0
Recursive Deep Prior Video: a Super Resolution algorithm for Time-Lapse Microscopy of organ-on-chip experiments—0
DynaVSR: Dynamic Adaptive Blind Video Super-ResolutionCode1
Real-time Surgical Environment Enhancement for Robot-Assisted Minimally Invasive Surgery Based on Super-Resolution—0
Deformable Kernel Convolutional Network for Video Extreme Super-Resolution—0
Local-Global Fusion Network for Video Super-ResolutionCode1
NEMO: enabling neural-enhanced video streaming on commodity mobile devicesCode1
Understanding Deformable Alignment in Video Super-Resolution—0
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results—0
A Single Frame and Multi-Frame Joint Network for 360-degree Panorama Video Super-ResolutionCode1
Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov Model InferenceCode1
Revisiting Temporal Modeling for Video Super-resolutionCode1
Video Super-Resolution with Recurrent Structure-Detail NetworkCode1
Blind Face Restoration via Deep Multi-scale Component DictionariesCode1
Neural supersampling for real-time renderingCode1
Video Super Resolution Based on Deep Learning: A Comprehensive Survey—0
MuCAN: Multi-Correspondence Aggregation Network for Video Super-ResolutionCode1
Video Super-resolution with Temporal Group AttentionCode1
Multi-image Super Resolution of Remotely Sensed Images using Residual Feature Attention Deep Neural NetworksCode1
iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection NetworksCode1
Real-World Super-Resolution via Kernel Estimation and Noise InjectionCode2
iSeeBetter: Spatio-temporal video super-resolution using recurrent generative back-projection networksCode1
TDAN: Temporally-Deformable Alignment Network for Video Super-ResolutionCode1
Efficient and Phase-aware Video Super-resolution for Cardiac MRI—0
Deformable 3D Convolution for Video Super-ResolutionCode1
Deep Space-Time Video Upsampling NetworksCode1
Space-Time-Aware Multi-Resolution Video EnhancementCode1
Across Scales & Across Dimensions: Temporal Super-Resolution using Deep Internal LearningCode1
Is There Tradeoff between Spatial and Temporal in Video Super-Resolution?—0
Deep Blind Video Super-resolutionCode1
Deep Slow Motion Video Reconstruction with Hybrid Imaging SystemCode1
Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-ResolutionCode1
Video Face Super-Resolution with Motion-Adaptive Feedback Cell—0
Deep Video Super-Resolution using HR Optical Flow EstimationCode1
End-To-End Trainable Video Super-Resolution Based on a New Mechanism for Implicit Motion Estimation and Compensation—0
Self-supervised Fine-tuning for Correcting Super-Resolution Convolutional Neural Networks—0
FISR: Deep Joint Frame Interpolation and Super-Resolution with a Multi-scale Temporal LossCode0
Sub-frame Appearance and 6D Pose Estimation of Fast Moving ObjectsCode0
Self-Enhanced Convolutional Network for Facial Video Hallucination—0
Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal CorrelationsCode0
Frame and Feature-Context Video Super-Resolution—0
Deformable Non-local Network for Video Super-ResolutionCode0
Robust Online Video Super-Resolution Using an Efficient Alternating Projections Scheme—0
A Single Video Super-Resolution GAN for Multiple Downsampling Operators based on Pseudo-Inverse Image Formation Models—0
Intra-frame Object Tracking by DeblattingCode0
EDVR: Video Restoration with Enhanced Deformable Convolutional NetworksCode1
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All datasetsMSU Super-Resolution for Video CompressionMSU Video Upscalers: Quality EnhancementMSU Video Super Resolution Benchmark: Detail RestorationVid4 - 4x upscalingVid4 - 4x upscaling - BD degradationREDS4- 4x upscalingUDM10 - 4x upscalingUltra Video Group HD - 4x upscalingFalling ObjectsTbDTbD-3DVimeo90K

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1bicubic + uavs3eBSQ-rate over ERQA21.97—Unverified
2bicubic + aomencBSQ-rate over ERQA21.97—Unverified
3RealSR + vvencBSQ-rate over ERQA21.97—Unverified
4bicubic + vvencBSQ-rate over ERQA21.97—Unverified
5TMNet + aomencBSQ-rate over ERQA21.8—Unverified
6TMNet + vvencBSQ-rate over ERQA21.3—Unverified
7RSDN + aomencBSQ-rate over ERQA20.62—Unverified
8RSDN + uavs3eBSQ-rate over ERQA18.33—Unverified
9EGVSR + aomencBSQ-rate over ERQA16.73—Unverified
10bicubic + x265BSQ-rate over ERQA16.01—Unverified
#ModelMetricClaimedVerifiedStatus
1iSeeBetterSSIM0.94—Unverified
2LGFNSSIM0.94—Unverified
3SOF-VSRSSIM0.94—Unverified
4DBVSRSSIM0.94—Unverified
5FRVSRSSIM0.94—Unverified
6ESRGANSSIM0.94—Unverified
7DRRNSSIM0.93—Unverified
8TecoGANSSIM0.93—Unverified
9SPMCSSIM0.93—Unverified
10VESPCNSSIM0.93—Unverified
#ModelMetricClaimedVerifiedStatus
1VRTSubjective score7.63—Unverified
2BasicVSRSubjective score7.19—Unverified
3RBPNSubjective score7.07—Unverified
4DBVSRSubjective score6.95—Unverified
5iSeeBetterSubjective score6.81—Unverified
6LGFNSubjective score6.51—Unverified
7DynaVSR-RSubjective score6.14—Unverified
8TMNetSubjective score6—Unverified
9COMISRSubjective score5.64—Unverified
10RSDNSubjective score5.57—Unverified
#ModelMetricClaimedVerifiedStatus
1VideoGigaGANPSNR27.04—Unverified
2TecoGAN⊖PSNR25.89—Unverified
3TecoGANPSNR25.57—Unverified
4EvTexture+SSIM0.9—Unverified
5EvTextureSSIM0.89—Unverified
6IARTSSIM0.85—Unverified
7MIA-VSRSSIM0.85—Unverified
8CFD-PSRTSSIM0.85—Unverified
9PSRT-recurrentSSIM0.85—Unverified
10RVRTSSIM0.85—Unverified
#ModelMetricClaimedVerifiedStatus
1RVRTPSNR29.54—Unverified
2VRTPSNR29.42—Unverified
3BasicVSR++PSNR29.04—Unverified
4FTVSRPSNR28.7—Unverified
5GOVSRPSNR28.41—Unverified
6TTVSRPSNR28.4—Unverified
7IconVSRPSNR28.04—Unverified
8BasicVSRPSNR27.96—Unverified