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 151–200 of 281 papers

TitleStatusHype
Frame-Recurrent Video Super-Resolution—0
Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution—0
Geometry-Aware Reference Synthesis for Multi-View Image Super-Resolution—0
Global Spatial-Temporal Information-based Residual ConvLSTM for Video Space-Time Super-Resolution—0
Group-based Bi-Directional Recurrent Wavelet Neural Networks for Video Super-Resolution—0
HSTR-Net: Reference Based Video Super-resolution with Dual Cameras—0
Hunyuan-Game: Industrial-grade Intelligent Game Creation Model—0
Self-supervised Fine-tuning for Correcting Super-Resolution Convolutional Neural Networks—0
Imagen Video: High Definition Video Generation with Diffusion Models—0
You Only Align Once: Bidirectional Interaction for Spatial-Temporal Video Super-Resolution—0
Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution—0
Sequence Matters: Harnessing Video Models in 3D Super-Resolution—0
SimDA: Simple Diffusion Adapter for Efficient Video Generation—0
Is There Tradeoff between Spatial and Temporal in Video Super-Resolution?—0
Kalman-Inspired Feature Propagation for Video Face Super-Resolution—0
Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling—0
VEnhancer: Generative Space-Time Enhancement for Video Generation—0
Learnable Sampling 3D Convolution for Video Enhancement and Action Recognition—0
Super-Resolution Generative Adversarial Networks based Video Enhancement—0
Learning for Unconstrained Space-Time Video Super-Resolution—0
Video Face Super-Resolution with Motion-Adaptive Feedback Cell—0
Space-Time Distillation for Video Super-Resolution—0
Learning Spatial Adaptation and Temporal Coherence in Diffusion Models for Video Super-Resolution—0
Space-Time Video Super-resolution with Neural Operator—0
Spatial Degradation-Aware and Temporal Consistent Diffusion Model for Compressed Video Super-Resolution—0
An Efficient Algorithm for Video Super-Resolution Based On a Sequential Model—0
LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4RTX 4090s—0
Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning—0
Low Resource Video Super-resolution using Memory and Residual Deformable Convolutions—0
MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution—0
Spatio-temporal Transformer Network for Video Restoration—0
VideoGigaGAN: Towards Detail-rich Video Super-Resolution—0
360-Degree Video Super Resolution and Quality Enhancement Challenge: Methods and Results—0
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution—0
Rethinking Video Super-Resolution: Towards Diffusion-Based Methods without Motion Alignment—0
Multi-Frequency Representation Enhancement with Privilege Information for Video Super-Resolution—0
NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-World Video Super-Resolution—0
Video Super Resolution Based on Deep Learning: A Comprehensive Survey—0
Video super-resolution for single-photon LIDAR—0
NTIRE 2021 Challenge on Video Super-Resolution—0
Omnidirectional Video Super-Resolution using Deep Learning—0
Omniscient Video Super-Resolution—0
Online Streaming Video Super-Resolution with Convolutional Look-Up Table—0
Online Video Super-Resolution with Convolutional Kernel Bypass Graft—0
AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results—0
Optical Flow for Video Super-Resolution: A Survey—0
Optical Flow Reusing for High-Efficiency Space-Time Video Super Resolution—0
PatchVSR: Breaking Video Diffusion Resolution Limits with Patch-wise Video Super-Resolution—0
Photorealistic Video Generation with Diffusion Models—0
Perceptual Video Super Resolution with Enhanced 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