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

Showing 125 of 281 papers

TitleStatusHype
EvTexture: Event-driven Texture Enhancement for Video Super-ResolutionCode5
Towards Real-World Blind Face Restoration with Generative Facial PriorCode4
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic DataCode4
XGBoost: A Scalable Tree Boosting SystemCode4
Event-Enhanced Blurry Video Super-ResolutionCode3
Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-ResolutionCode3
PP-MSVSR: Multi-Stage Video Super-ResolutionCode3
VRT: A Video Restoration TransformerCode3
BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and AlignmentCode3
SwinIR: Image Restoration Using Swin TransformerCode3
BasicVSR: The Search for Essential Components in Video Super-Resolution and BeyondCode3
ESRGAN: Enhanced Super-Resolution Generative Adversarial NetworksCode3
VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-ResolutionCode2
Reference-based Video Super-Resolution Using Multi-Camera Video TripletsCode2
RealViformer: Investigating Attention for Real-World Video Super-ResolutionCode2
Reference-based Image and Video Super-Resolution via C2-MatchingCode2
Video Super-Resolution Transformer with Masked Inter&Intra-Frame AttentionCode2
On the Generalization of BasicVSR++ to Video Deblurring and DenoisingCode2
Arbitrary-Scale Video Super-Resolution with Structural and Textural PriorsCode2
Investigating Tradeoffs in Real-World Video Super-ResolutionCode2
Learning Truncated Causal History Model for Video RestorationCode2
Learning Trajectory-Aware Transformer for Video Super-ResolutionCode2
DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-ResolutionCode2
Real-World Super-Resolution via Kernel Estimation and Noise InjectionCode2
Enhancing Video Super-Resolution via Implicit Resampling-based AlignmentCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1bicubic + uavs3eBSQ-rate over ERQA21.97Unverified
2bicubic + aomencBSQ-rate over ERQA21.97Unverified
3RealSR + vvencBSQ-rate over ERQA21.97Unverified
4bicubic + vvencBSQ-rate over ERQA21.97Unverified
5TMNet + aomencBSQ-rate over ERQA21.8Unverified
6TMNet + vvencBSQ-rate over ERQA21.3Unverified
7RSDN + aomencBSQ-rate over ERQA20.62Unverified
8RSDN + uavs3eBSQ-rate over ERQA18.33Unverified
9EGVSR + aomencBSQ-rate over ERQA16.73Unverified
10bicubic + x265BSQ-rate over ERQA16.01Unverified
#ModelMetricClaimedVerifiedStatus
1iSeeBetterSSIM0.94Unverified
2LGFNSSIM0.94Unverified
3SOF-VSRSSIM0.94Unverified
4DBVSRSSIM0.94Unverified
5FRVSRSSIM0.94Unverified
6ESRGANSSIM0.94Unverified
7DRRNSSIM0.93Unverified
8TecoGANSSIM0.93Unverified
9SPMCSSIM0.93Unverified
10VESPCNSSIM0.93Unverified
#ModelMetricClaimedVerifiedStatus
1VRTSubjective score7.63Unverified
2BasicVSRSubjective score7.19Unverified
3RBPNSubjective score7.07Unverified
4DBVSRSubjective score6.95Unverified
5iSeeBetterSubjective score6.81Unverified
6LGFNSubjective score6.51Unverified
7DynaVSR-RSubjective score6.14Unverified
8TMNetSubjective score6Unverified
9COMISRSubjective score5.64Unverified
10RSDNSubjective score5.57Unverified
#ModelMetricClaimedVerifiedStatus
1VideoGigaGANPSNR27.04Unverified
2TecoGAN⊖PSNR25.89Unverified
3TecoGANPSNR25.57Unverified
4EvTexture+SSIM0.9Unverified
5EvTextureSSIM0.89Unverified
6IARTSSIM0.85Unverified
7MIA-VSRSSIM0.85Unverified
8CFD-PSRTSSIM0.85Unverified
9PSRT-recurrentSSIM0.85Unverified
10RVRTSSIM0.85Unverified
#ModelMetricClaimedVerifiedStatus
1RVRTPSNR29.54Unverified
2VRTPSNR29.42Unverified
3BasicVSR++PSNR29.04Unverified
4FTVSRPSNR28.7Unverified
5GOVSRPSNR28.41Unverified
6TTVSRPSNR28.4Unverified
7IconVSRPSNR28.04Unverified
8BasicVSRPSNR27.96Unverified