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 51–100 of 204 papers

TitleStatusHype
Perceptual Quality Assessment for Video Frame Interpolation—0
A Multi-In-Single-Out Network for Video Frame Interpolation without Optical FlowCode1
Clearer Frames, Anytime: Resolving Velocity Ambiguity in Video Frame InterpolationCode2
Video Frame Interpolation with Many-to-many Splatting and Spatial Selective Refinement—0
Scale-Adaptive Feature Aggregation for Efficient Space-Time Video Super-ResolutionCode1
LOVECon: Text-driven Training-Free Long Video Editing with ControlNetCode1
Three-Stage Cascade Framework for Blurry Video Frame Interpolation—0
IBVC: Interpolation-driven B-frame Video CompressionCode0
Dynamic Frame Interpolation in Wavelet DomainCode1
SportsSloMo: A New Benchmark and Baselines for Human-centric Video Frame Interpolation—0
Uncertainty-Guided Spatial Pruning Architecture for Efficient Frame Interpolation—0
Video Frame Interpolation with Flow Transformer—0
Revisiting Event-based Video Frame Interpolation—0
Video Frame Interpolation with Stereo Event and Intensity Camera—0
Efficient Convolution and Transformer-Based Network for Video Frame Interpolation—0
SPDER: Semiperiodic Damping-Enabled Object Representation—0
Self-supervised Learning of Event-guided Video Frame Interpolation for Rolling Shutter Frames—0
Boost Video Frame Interpolation via Motion AdaptationCode1
Neural Image Re-ExposureCode0
IDO-VFI: Identifying Dynamics via Optical Flow Guidance for Video Frame Interpolation with EventsCode0
Inter-frame Accelerate Attack against Video Interpolation Models—0
Video Frame Interpolation with Densely Queried Bilateral CorrelationCode1
Dynamic Video Frame Interpolation with integrated Difficulty Pre-Assessment—0
AMT: All-Pairs Multi-Field Transforms for Efficient Frame InterpolationCode2
BiFormer: Learning Bilateral Motion Estimation via Bilateral Transformer for 4K Video Frame InterpolationCode1
Implicit View-Time Interpolation of Stereo Videos using Multi-Plane Disparities and Non-Uniform CoordinatesCode1
Joint Video Multi-Frame Interpolation and Deblurring under Unknown Exposure TimeCode1
LDMVFI: Video Frame Interpolation with Latent Diffusion ModelsCode1
MOSO: Decomposing MOtion, Scene and Object for Video PredictionCode1
MAEVI: Motion Aware Event-Based Video Frame InterpolationCode0
Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame InterpolationCode2
ST-MFNet Mini: Knowledge Distillation-Driven Frame InterpolationCode0
A Unified Framework for Event-based Frame Interpolation with Ad-hoc Deblurring in the WildCode1
Video Object Segmentation-aware Video Frame InterpolationCode1
Rethinking Video Frame Interpolation from Shutter Mode Induced Degradation—0
Frame Interpolation Transformer and Uncertainty Guidance—0
Range-Nullspace Video Frame Interpolation With Focalized Motion Estimation—0
Efficient Feature Extraction for High-resolution Video Frame InterpolationCode1
Flow Guidance Deformable Compensation Network for Video Frame Interpolation—0
H-VFI: Hierarchical Frame Interpolation for Videos with Large Motions—0
AdaFNIO: Adaptive Fourier Neural Interpolation Operator for video frame interpolationCode0
Progressive Motion Context Refine Network for Efficient Video Frame Interpolation—0
A Unified Pyramid Recurrent Network for Video Frame InterpolationCode1
Deep Bayesian Video Frame InterpolationCode1
Scalable Neural Video Representations with Learnable Positional FeaturesCode1
A unified model for continuous conditional video predictionCode1
DeepHS-HDRVideo: Deep High Speed High Dynamic Range Video Reconstruction—0
A Perceptual Quality Metric for Video Frame InterpolationCode1
BVI-VFI: A Video Quality Database for Video Frame InterpolationCode0
Frame Interpolation for Dynamic Scenes with Implicit Flow EncodingCode1
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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