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

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Showing 101–150 of 204 papers

TitleStatusHype
360VFI: A Dataset and Benchmark for Omnidirectional Video Frame Interpolation—0
Event-based Video Frame Interpolation with Edge Guided Motion Refinement—0
EventDiff: A Unified and Efficient Diffusion Model Framework for Event-based Video Frame Interpolation—0
Event-Enhanced Snapshot Compressive Videography at 10K FPS—0
EVS-assisted Joint Deblurring Rolling-Shutter Correction and Video Frame Interpolation through Sensor Inverse Modeling—0
Explicit Depth-Aware Blurry Video Frame Interpolation Guided by Differential Curves—0
Exploring Motion Ambiguity and Alignment for High-Quality Video Frame Interpolation—0
FloLPIPS: A Bespoke Video Quality Metric for Frame Interpoation—0
Flow Guidance Deformable Compensation Network for Video Frame Interpolation—0
Frame Interpolation Transformer and Uncertainty Guidance—0
From Sim-to-Real: Toward General Event-based Low-light Frame Interpolation with Per-scene Optimization—0
Generalizable Implicit Motion Modeling for Video Frame Interpolation—0
Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks—0
Hierarchical Flow Diffusion for Efficient Frame Interpolation—0
High-Resolution Frame Interpolation with Patch-based Cascaded Diffusion—0
H-VFI: Hierarchical Frame Interpolation for Videos with Large Motions—0
IM-Net for High Resolution Video Frame Interpolation—0
Inter-frame Accelerate Attack against Video Interpolation Models—0
Investigating Event-Based Cameras for Video Frame Interpolation in Sports—0
IQ-VFI: Implicit Quadratic Motion Estimation for Video Frame Interpolation—0
LADDER: An Efficient Framework for Video Frame Interpolation—0
Learning Joint Wasserstein Auto-Encoders for Joint Distribution Matching—0
Long-term Video Frame Interpolation via Feature Propagation—0
Meta-Interpolation: Time-Arbitrary Frame Interpolation via Dual Meta-Learning—0
Motion-Aware Dynamic Architecture for Efficient Frame Interpolation—0
Motion-aware Latent Diffusion Models for Video Frame Interpolation—0
Motion-Aware Video Frame Interpolation—0
Multi-encoder Network for Parameter Reduction of a Kernel-based Interpolation Architecture—0
Neighbor Correspondence Matching for Flow-based Video Frame Synthesis—0
Optical Flow Regularization of Implicit Neural Representations for Video Frame Interpolation—0
Perceptual Quality Assessment for Video Frame Interpolation—0
PhaseNet for Video Frame Interpolation—0
Physical Integrity Attack Detection of Surveillance Camera with Deep Learning Based Video Frame Interpolation—0
Progressive Motion Context Refine Network for Efficient Video Frame Interpolation—0
PS4PRO: Pixel-to-pixel Supervision for Photorealistic Rendering and Optimization—0
Quality Prediction of AI Generated Images and Videos: Emerging Trends and Opportunities—0
RAI-Net: Range-Adaptive LiDAR Point Cloud Frame Interpolation Network—0
Range-Nullspace Video Frame Interpolation With Focalized Motion Estimation—0
Reducing the X-ray radiation exposure frequency in cardio-angiography via deep-learning based video interpolation—0
ReFIn: A Refinement Approach for Video Frame Interpolation—0
Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation—0
Rethinking Video Frame Interpolation from Shutter Mode Induced Degradation—0
Revisiting Adaptive Convolutions for Video Frame Interpolation—0
Revisiting Event-based Video Frame Interpolation—0
Self-supervised Learning of Event-guided Video Frame Interpolation for Rolling Shutter Frames—0
Semantic-Aware Adaptive Video Streaming Using Latent Diffusion Models for Wireless Networks—0
SPDER: Semiperiodic Damping-Enabled Object Representation—0
Splatting-based Synthesis for Video Frame Interpolation—0
SportsSloMo: A New Benchmark and Baselines for Human-centric Video Frame Interpolation—0
Temporal Spatial-Adaptive Interpolation with Deformable Refinement for Electron Microscopic Images—0
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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