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
A Codec Information Assisted Framework for Efficient Compressed Video Super-Resolution—0
Deep Learning based Super-Resolution for Medical Volume Visualization with Direct Volume Rendering—0
Imagen Video: High Definition Video Generation with Diffusion Models—0
ELSR: Extreme Low-Power Super Resolution Network For Mobile DevicesCode0
Online Video Super-Resolution with Convolutional Kernel Bypass Graft—0
Geometry-Aware Reference Synthesis for Multi-View Image Super-Resolution—0
You Only Align Once: Bidirectional Interaction for Spatial-Temporal Video Super-Resolution—0
Combining Contrastive and Supervised Learning for Video Super-Resolution DetectionCode0
Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning—0
Accelerating the Training of Video Super-Resolution ModelsCode0
Optical Flow for Video Super-Resolution: A Survey—0
A Novel Dual Dense Connection Network for Video Super-resolution—0
Fast Online Video Super-Resolution with Deformable Attention Pyramid—0
Deep Networks for Image and Video Super-Resolution—0
Information Prebuilt Recurrent Reconstruction Network for Video Super-Resolution—0
MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution—0
Optical Flow Reusing for High-Efficiency Space-Time Video Super Resolution—0
An Efficient Network Design for Face Video Super-resolutionCode0
Temporal Kernel Consistency for Blind Video Super-Resolution—0
Ada-VSR: Adaptive Video Super-Resolution with Meta-Learning—0
Video Super-Resolution with Long-Term Self-Exemplars—0
Applying VertexShuffle Toward 360-Degree Video Super-Resolution on Focused-Icosahedral-Mesh—0
Turning Frequency to Resolution: Video Super-Resolution via Event Cameras—0
Space-Time Distillation for Video Super-Resolution—0
Group-based Bi-Directional Recurrent Wavelet Neural Networks for Video Super-Resolution—0
Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report—0
FDAN: Flow-guided Deformable Alignment Network for Video Super-Resolution—0
Real-Time Video Super-Resolution by Joint Local Inference and Global Parameter Estimation—0
COMISR: Compression-Informed Video Super-ResolutionCode0
NTIRE 2021 Challenge on Video Super-Resolution—0
Omniscient Video Super-Resolution—0
Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling—0
Learning for Unconstrained Space-Time Video Super-Resolution—0
Deep Unrolled Network for Video Super-Resolution—0
Dual-Stream Fusion Network for Spatiotemporal Video Super-ResolutionCode0
Deep Learning Techniques for Super-Resolution in Video Games—0
EVRNet: Efficient Video Restoration on Edge Devices—0
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
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
Understanding Deformable Alignment in Video Super-Resolution—0
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results—0
Video Super Resolution Based on Deep Learning: A Comprehensive Survey—0
Efficient and Phase-aware Video Super-resolution for Cardiac MRI—0
Is There Tradeoff between Spatial and Temporal in Video Super-Resolution?—0
Video Face Super-Resolution with Motion-Adaptive Feedback Cell—0
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
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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
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