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 251–281 of 281 papers

TitleStatusHype
Adapting Image Super-Resolution State-of-the-arts and Learning Multi-model Ensemble for Video Super-Resolution—0
Fast Spatio-Temporal Residual Network for Video Super-Resolution—0
Recurrent Back-Projection Network for Video Super-ResolutionCode0
Two-Stream Action Recognition-Oriented Video Super-ResolutionCode0
3DSRnet: Video Super-resolution using 3D Convolutional Neural NetworksCode0
TDAN: Temporally Deformable Alignment Network for Video Super-ResolutionCode1
Learning Temporal Coherence via Self-Supervision for GAN-based Video GenerationCode1
Learning for Video Super-Resolution through HR Optical Flow EstimationCode1
Spatio-temporal Transformer Network for Video Restoration—0
ESRGAN: Enhanced Super-Resolution Generative Adversarial NetworksCode3
Perceptual Video Super Resolution with Enhanced Temporal Consistency—0
Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution—0
Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion CompensationCode0
Deep Back-Projection Networks For Super-ResolutionCode0
Frame-Recurrent Video Super-Resolution—0
Learning a Single Convolutional Super-Resolution Network for Multiple DegradationsCode0
Video Enhancement with Task-Oriented FlowCode1
Robust Video Super-Resolution With Learned Temporal Dynamics—0
End-to-End Learning of Video Super-Resolution with Motion Compensation—0
Image Super-Resolution via Deep Recursive Residual NetworkCode0
A New Adaptive Video Super-Resolution Algorithm With Improved Robustness to Innovations—0
Detail-revealing Deep Video Super-resolutionCode0
Multiframe Motion Coupling for Video Super ResolutionCode0
Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation—0
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural NetworkCode1
XGBoost: A Scalable Tree Boosting SystemCode4
Video Super-Resolution via Deep Draft-Ensemble Learning—0
Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution—0
Accurate Image Super-Resolution Using Very Deep Convolutional NetworksCode0
An Efficient Algorithm for Video Super-Resolution Based On a Sequential Model—0
Image Super-Resolution Using Deep Convolutional NetworksCode1
Show:102550
← PrevPage 6 of 6Next →
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
1LGFNSSIM0.94—Unverified
2iSeeBetterSSIM0.94—Unverified
3DBVSRSSIM0.94—Unverified
4SOF-VSRSSIM0.94—Unverified
5FRVSRSSIM0.94—Unverified
6ESRGANSSIM0.94—Unverified
7SPMCSSIM0.93—Unverified
8TecoGANSSIM0.93—Unverified
9DRRNSSIM0.93—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