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

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Showing 1–25 of 281 papers

TitleStatusHype
Compressed Video Super-Resolution based on Hierarchical Encoding—0
FCA2: Frame Compression-Aware Autoencoder for Modular and Fast Compressed Video Super-ResolutionCode0
ICME 2025 Grand Challenge on Video Super-Resolution for Video ConferencingCode1
LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4RTX 4090s—0
A Systematic Investigation on Deep Learning-Based Omnidirectional Image and Video Super-ResolutionCode0
DualX-VSR: Dual Axial SpatialTemporal Transformer for Real-World Video Super-Resolution without Motion Compensation—0
Omnidirectional Video Super-Resolution using Deep Learning—0
A Survey of Deep Learning Video Super-Resolution—0
UltraVSR: Achieving Ultra-Realistic Video Super-Resolution with Efficient One-Step Diffusion Space—0
DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-ResolutionCode2
Blind Restoration of High-Resolution Ultrasound Video—0
Hunyuan-Game: Industrial-grade Intelligent Game Creation Model—0
GRNN:Recurrent Neural Network based on Ghost Features for Video Super-Resolution—0
Super-Resolution Generative Adversarial Networks based Video Enhancement—0
EvEnhancer: Empowering Effectiveness, Efficiency and Generalizability for Continuous Space-Time Video Super-Resolution with EventsCode1
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-ResolutionCode1
RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution—0
Event-Enhanced Blurry Video Super-ResolutionCode3
FedVSR: Towards Model-Agnostic Federated Learning in Video Super-ResolutionCode1
Rethinking Video Super-Resolution: Towards Diffusion-Based Methods without Motion Alignment—0
Spatial Degradation-Aware and Temporal Consistent Diffusion Model for Compressed Video Super-Resolution—0
DC-VSR: Spatially and Temporally Consistent Video Super-Resolution with Video Diffusion Prior—0
Low Resource Video Super-resolution using Memory and Residual Deformable Convolutions—0
BF-STVSR: B-Splines and Fourier-Best Friends for High Fidelity Spatial-Temporal Video Super-ResolutionCode1
DiffVSR: Enhancing Real-World Video Super-Resolution with Diffusion Models for Advanced Visual Quality and Temporal Consistency—0
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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