SOTAVerified

Video Frame Interpolation

The goal of Video Frame Interpolation is to synthesize several frames in the middle of two adjacent frames of the original video. Video Frame Interpolation can be applied to generate slow motion video, increase video frame rate, and frame recovery in video streaming.

Source: Reducing the X-ray radiation exposure frequency in cardio-angiography via deep-learning based video interpolation

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–200 of 204 papers

TitleStatusHype
Texture-aware Video Frame Interpolation—0
The U-Net based GLOW for Optical-Flow-free Video Interframe Generation—0
Three-Stage Cascade Framework for Blurry Video Frame Interpolation—0
Time Lens++: Event-based Frame Interpolation with Parametric Non-linear Flow and Multi-scale Fusion—0
TimeTracker: Event-based Continuous Point Tracking for Video Frame Interpolation with Non-linear Motion—0
TLB-VFI: Temporal-Aware Latent Brownian Bridge Diffusion for Video Frame Interpolation—0
TTVFI: Learning Trajectory-Aware Transformer for Video Frame Interpolation—0
Uncertainty-Guided Spatial Pruning Architecture for Efficient Frame Interpolation—0
Unsupervised Video Interpolation by Learning Multilayered 2.5D Motion Fields—0
Video Frame Interpolation by Plug-and-Play Deep Locally Linear Embedding—0
Video frame interpolation for high dynamic range sequences captured with dual-exposure sensors—0
Video Frame Interpolation for Polarization via Swin-Transformer—0
Video Frame Interpolation via Direct Synthesis with the Event-based Reference—0
Video Frame Interpolation via Structure-Motion based Iterative Fusion—0
Video Frame Interpolation with Flow Transformer—0
Video Frame Interpolation with Many-to-many Splatting and Spatial Selective Refinement—0
Video Frame Interpolation with Region-Distinguishable Priors from SAM—0
Video Frame Interpolation with Stereo Event and Intensity Camera—0
Video Interpolation by Event-driven Anisotropic Adjustment of Optical Flow—0
Video Motion Graphs—0
Zoom-In-to-Check: Boosting Video Interpolation via Instance-level Discrimination—0
Variational Approach for Capsule Video Frame InterpolationCode0
MAEVI: Motion Aware Event-Based Video Frame InterpolationCode0
AdaCoF: Adaptive Collaboration of Flows for Video Frame InterpolationCode0
Video Frame Interpolation Based on Deformable Kernel RegionCode0
BVI-VFI: A Video Quality Database for Video Frame InterpolationCode0
GIMP-ML: Python Plugins for using Computer Vision Models in GIMPCode0
Z-upscaling: Optical Flow Guided Frame Interpolation for Isotropic Reconstruction of 3D EM VolumesCode0
Implementing Adaptive Separable Convolution for Video Frame InterpolationCode0
SelfDRSC++: Self-Supervised Learning for Dual Reversed Rolling Shutter CorrectionCode0
Perception-Oriented Video Frame Interpolation via Asymmetric BlendingCode0
AdaFNIO: Adaptive Fourier Neural Interpolation Operator for video frame interpolationCode0
Video Frame Interpolation via Adaptive Separable ConvolutionCode0
Video Frame Interpolation via Adaptive ConvolutionCode0
FISR: Deep Joint Frame Interpolation and Super-Resolution with a Multi-scale Temporal LossCode0
ST-MFNet Mini: Knowledge Distillation-Driven Frame InterpolationCode0
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video InterpolationCode0
Image2Gif: Generating Continuous Realistic Animations with Warping NODEsCode0
Video Reconstruction from a Single Motion Blurred Image using Learned Dynamic Phase CodingCode0
IDO-VFI: Identifying Dynamics via Optical Flow Guidance for Video Frame Interpolation with EventsCode0
FastRIFE: Optimization of Real-Time Intermediate Flow Estimation for Video Frame InterpolationCode0
Time-adaptive Video Frame Interpolation based on Residual DiffusionCode0
W-Cell-Net: Multi-frame Interpolation of Cellular Microscopy VideosCode0
Neural Image Re-ExposureCode0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Frame Interpolation and EnhancementCode0
IBVC: Interpolation-driven B-frame Video CompressionCode0
Event-driven Video Frame SynthesisCode0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and EnhancementCode0
TTA-EVF: Test-Time Adaptation for Event-based Video Frame Interpolation via Reliable Pixel and Sample EstimationCode0
Deep Video Frame Interpolation using Cyclic Frame GenerationCode0
Show:102550
← PrevPage 4 of 5Next →
All datasetsMSU Video Frame InterpolationVimeo90KX4K1000FPSUCF101MiddleburySNU-FILM (easy)SNU-FILM (extreme)SNU-FILM (hard)SNU-FILM (medium)Vid4 - 4x upscalingX4K1000FPS-2KXiph-2K

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EMA-VFIPSNR29.89—Unverified
2UPR-Net LARGEPSNR29.73—Unverified
3DQBCPSNR29.45—Unverified
4EBME-HPSNR28.77—Unverified
5EBMEPSNR28.56—Unverified
6VFIformerPSNR28.34—Unverified
7FILMPSNR28.11—Unverified
8IFRNet_largePSNR28.04—Unverified
9CUREPSNR28.01—Unverified
10ABMEPSNR27.99—Unverified
#ModelMetricClaimedVerifiedStatus
1MA-CSPAPSNR36.76—Unverified
2EMA-VFIPSNR36.64—Unverified
3DQBCPSNR36.57—Unverified
4UPR-Net LARGEPSNR36.42—Unverified
5IFRNetPSNR36.2—Unverified
6EBME-H*PSNR36.19—Unverified
7ABMEPSNR36.18—Unverified
8SoftSplatPSNR36.1—Unverified
9FILMPSNR36.06—Unverified
10NCM-BasePSNR35.88—Unverified
#ModelMetricClaimedVerifiedStatus
1HiFIPSNR32.92—Unverified
2DBVIPSNR32.89—Unverified
3VFIMambaPSNR32.15—Unverified
4NCM-BasePSNR31.63—Unverified
5EMA-VFIPSNR31.46—Unverified
6BiFormerPSNR31.32—Unverified
7M2M-PWCPSNR30.81—Unverified
8UPR-Net largePSNR30.68—Unverified
9ECMNetPSNR30.51—Unverified
10fLDR-NetPSNR30.45—Unverified
#ModelMetricClaimedVerifiedStatus
1EMA-VFIPSNR35.48—Unverified
2UPR-Net LARGEPSNR35.47—Unverified
3VFIMambaPSNR35.45—Unverified
4DQBCPSNR35.44—Unverified
5MA-CSPAPSNR35.43—Unverified
6IFRNetPSNR35.42—Unverified
7EBME-H*PSNR35.41—Unverified
8SoftSplatPSNR35.39—Unverified
9ABMEPSNR35.38—Unverified
10CUREPSNR35.36—Unverified
#ModelMetricClaimedVerifiedStatus
1MA-CSPAPSNR38.83—Unverified
2FILMPSNR37.52—Unverified
3CDFIPSNR37.14—Unverified
4SepConv-L1Interpolation Error5.61—Unverified
5ToFlowInterpolation Error5.49—Unverified
6MEMC-NETInterpolation Error5.24—Unverified
7DAINInterpolation Error4.86—Unverified
8FRUCnetInterpolation Error4.78—Unverified
9BMBCInterpolation Error4.48—Unverified
10SoftSplatInterpolation Error4.22—Unverified
#ModelMetricClaimedVerifiedStatus
1ST-MFNetPSNR40.78—Unverified
2VFIMambaPSNR40.51—Unverified
3DBVIPSNR40.46—Unverified
4UPR-Net LARGEPSNR40.44—Unverified
5DQBCPSNR40.31—Unverified
6EBME-H*PSNR40.28—Unverified
7EMA-VFIPSNR39.98—Unverified
8CUREPSNR39.9—Unverified
#ModelMetricClaimedVerifiedStatus
1DBVIPSNR25.9—Unverified
2ST-MFNetPSNR25.81—Unverified
3VFIMambaPSNR25.79—Unverified
4EMA-VFIPSNR25.69—Unverified
5UPR-Net LARGEPSNR25.63—Unverified
6DQBCPSNR25.61—Unverified
7CUREPSNR25.44—Unverified
8EBME-H*PSNR25.4—Unverified
#ModelMetricClaimedVerifiedStatus
1ST-MFNetPSNR31.7—Unverified
2DBVIPSNR31.68—Unverified
3VFIMambaPSNR30.99—Unverified
4EMA-VFIPSNR30.94—Unverified
5DQBCPSNR30.94—Unverified
6UPR-Net LARGEPSNR30.86—Unverified
7CUREPSNR30.66—Unverified
8EBME-H*PSNR30.64—Unverified
#ModelMetricClaimedVerifiedStatus
1ST-MFNetPSNR37.11—Unverified
2DBVIPSNR36.95—Unverified
3VFIMambaPSNR36.4—Unverified
4UPR-Net LARGEPSNR36.29—Unverified
5DQBCPSNR36.25—Unverified
6EMA-VFIPSNR36.09—Unverified
7EBME-H*PSNR36.07—Unverified
8CUREPSNR35.94—Unverified
#ModelMetricClaimedVerifiedStatus
1VRTPSNR27.46—Unverified
2RSTT-LPSNR26.43—Unverified
3RSTT-MPSNR26.37—Unverified
4Zooming Slow-MoPSNR26.31—Unverified
5RSTT-SPSNR26.29—Unverified
#ModelMetricClaimedVerifiedStatus
1VFIMambaPSNR33.33—Unverified
2EMA-VFIPSNR32.85—Unverified
3M2M-PWCPSNR32.07—Unverified
4CUREPSNR30.05—Unverified
#ModelMetricClaimedVerifiedStatus
1VFIMambaPSNR37.13—Unverified
2EMA-VFIPSNR36.9—Unverified
3FILMPSNR36.66—Unverified
4M2M-PWCPSNR36.45—Unverified
#ModelMetricClaimedVerifiedStatus
1EMA-VFIPSNR34.67—Unverified
2VFIMambaPSNR34.62—Unverified
3FILMPSNR33.78—Unverified
4CUREPSNR30.94—Unverified
#ModelMetricClaimedVerifiedStatus
1RIFELPIPS0.14—Unverified
2EMA-VFILPIPS0.03—Unverified
3FLAVRLPIPS0.03—Unverified
#ModelMetricClaimedVerifiedStatus
1DBVIPSNR28.61—Unverified
2ST-MFNetPSNR28.29—Unverified
#ModelMetricClaimedVerifiedStatus
1DBVIPSNR31.73—Unverified
2FLAVRPSNR31.31—Unverified
#ModelMetricClaimedVerifiedStatus
1M2M-PWCPSNR29.03—Unverified
#ModelMetricClaimedVerifiedStatus
1CUREPSNR36.24—Unverified
#ModelMetricClaimedVerifiedStatus
1ST-MFNetPSNR29.18—Unverified
#ModelMetricClaimedVerifiedStatus
1M2M-PWCPSNR33.93—Unverified