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 1–50 of 204 papers

TitleStatusHype
FILM: Frame Interpolation for Large MotionCode4
VRT: A Video Restoration TransformerCode3
AMT: All-Pairs Multi-Field Transforms for Efficient Frame InterpolationCode2
Event-Based Video Frame Interpolation With Cross-Modal Asymmetric Bidirectional Motion FieldsCode2
Clearer Frames, Anytime: Resolving Velocity Ambiguity in Video Frame InterpolationCode2
Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame InterpolationCode2
VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-ResolutionCode2
VFIMamba: Video Frame Interpolation with State Space ModelsCode2
Disentangled Motion Modeling for Video Frame InterpolationCode2
SfM-Free 3D Gaussian Splatting via Hierarchical TrainingCode2
EDEN: Enhanced Diffusion for High-quality Large-motion Video Frame InterpolationCode2
AceVFI: A Comprehensive Survey of Advances in Video Frame InterpolationCode2
Depth-Aware Video Frame InterpolationCode2
IFRNet: Intermediate Feature Refine Network for Efficient Frame InterpolationCode2
Mono-ViFI: A Unified Learning Framework for Self-supervised Single- and Multi-frame Monocular Depth EstimationCode2
Sparse Global Matching for Video Frame Interpolation with Large MotionCode2
BiM-VFI: directional Motion Field-Guided Frame Interpolation for Video with Non-uniform MotionsCode2
Learning Cross-Video Neural Representations for High-Quality Frame InterpolationCode1
A Multi-In-Single-Out Network for Video Frame Interpolation without Optical FlowCode1
LOVECon: Text-driven Training-Free Long Video Editing with ControlNetCode1
GaraMoSt: Parallel Multi-Granularity Motion and Structural Modeling for Efficient Multi-Frame Interpolation in DSA ImagesCode1
Frame Interpolation for Dynamic Scenes with Implicit Flow EncodingCode1
CDFI: Compression-Driven Network Design for Frame InterpolationCode1
Frame Interpolation with Consecutive Brownian Bridge DiffusionCode1
LDMVFI: Video Frame Interpolation with Latent Diffusion ModelsCode1
A Unified Pyramid Recurrent Network for Video Frame InterpolationCode1
A unified model for continuous conditional video predictionCode1
Beyond a Video Frame Interpolator: A Space Decoupled Learning Approach to Continuous Image TransitionCode1
Exploring Discontinuity for Video Frame InterpolationCode1
Deep Animation Video Interpolation in the WildCode1
Many-to-many Splatting for Efficient Video Frame InterpolationCode1
EGVD: Event-Guided Video Diffusion Model for Physically Realistic Large-Motion Frame InterpolationCode1
FeatureFlow: Robust Video Interpolation via Structure-to-Texture GenerationCode1
JNMR: Joint Non-linear Motion Regression for Video Frame InterpolationCode1
BMBC: Bilateral Motion Estimation with Bilateral Cost Volume for Video InterpolationCode1
Dynamic Frame Interpolation in Wavelet DomainCode1
Asymmetric Bilateral Motion Estimation for 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
BMBC:Bilateral Motion Estimation with Bilateral Cost Volume for Video InterpolationCode1
Blurry Video Frame InterpolationCode1
A Perceptual Quality Metric for Video Frame InterpolationCode1
Boost Video Frame Interpolation via Motion AdaptationCode1
Efficient Feature Extraction for High-resolution Video Frame InterpolationCode1
DeMFI: Deep Joint Deblurring and Multi-Frame Interpolation with Flow-Guided Attentive Correlation and Recursive BoostingCode1
Enhanced Bi-directional Motion Estimation for Video Frame InterpolationCode1
FLAVR: Flow-Agnostic Video Representations for Fast Frame InterpolationCode1
Enhanced Quadratic Video InterpolationCode1
Channel Attention Is All You Need for Video Frame InterpolationCode1
BiFormer: Learning Bilateral Motion Estimation via Bilateral Transformer for 4K Video Frame InterpolationCode1
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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
4DQBCPSNR30.94—Unverified
5EMA-VFIPSNR30.94—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