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 101–150 of 281 papers

TitleStatusHype
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
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
iSeeBetter: Spatio-temporal video super-resolution using recurrent generative back-projection networksCode1
TDAN: Temporally-Deformable Alignment Network for Video Super-ResolutionCode1
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
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
Deep Video Super-Resolution using HR Optical Flow EstimationCode1
EDVR: Video Restoration with Enhanced Deformable Convolutional NetworksCode1
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
Video Enhancement with Task-Oriented FlowCode1
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural NetworkCode1
Image Super-Resolution Using Deep Convolutional NetworksCode1
Compressed Video Super-Resolution based on Hierarchical Encoding—0
FCA2: Frame Compression-Aware Autoencoder for Modular and Fast Compressed Video Super-ResolutionCode0
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
A Survey of Deep Learning Video Super-Resolution—0
Omnidirectional Video Super-Resolution using Deep Learning—0
UltraVSR: Achieving Ultra-Realistic Video Super-Resolution with Efficient One-Step Diffusion Space—0
Hunyuan-Game: Industrial-grade Intelligent Game Creation Model—0
Blind Restoration of High-Resolution Ultrasound Video—0
Super-Resolution Generative Adversarial Networks based Video Enhancement—0
GRNN:Recurrent Neural Network based on Ghost Features for Video Super-Resolution—0
RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution—0
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
DiffVSR: Enhancing Real-World Video Super-Resolution with Diffusion Models for Advanced Visual Quality and Temporal Consistency—0
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution—0
Compressed Domain Prior-Guided Video Super-Resolution for Cloud Gaming Content—0
Self-supervised ControlNet with Spatio-Temporal Mamba for Real-world Video Super-resolution—0
PatchVSR: Breaking Video Diffusion Resolution Limits with Patch-wise Video Super-Resolution—0
Efficient Video Super-Resolution for Real-time Rendering with Decoupled G-buffer Guidance—0
Event-based Video Super-Resolution via State Space Models—0
Sequence Matters: Harnessing Video Models in 3D Super-Resolution—0
Show:102550
← PrevPage 3 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