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 1–50 of 204 papers

TitleStatusHype
TLB-VFI: Temporal-Aware Latent Brownian Bridge Diffusion for Video Frame Interpolation—0
AceVFI: A Comprehensive Survey of Advances in Video Frame InterpolationCode2
PS4PRO: Pixel-to-pixel Supervision for Photorealistic Rendering and Optimization—0
EventDiff: A Unified and Efficient Diffusion Model Framework for Event-based Video Frame Interpolation—0
TimeTracker: Event-based Continuous Point Tracking for Video Frame Interpolation with Non-linear Motion—0
Time-adaptive Video Frame Interpolation based on Residual DiffusionCode0
Coupled Video Frame Interpolation and Encoding with Hybrid Event Cameras for Low-Power High-Framerate Video—0
Video Motion Graphs—0
EGVD: Event-Guided Video Diffusion Model for Physically Realistic Large-Motion Frame InterpolationCode1
EDEN: Enhanced Diffusion for High-quality Large-motion Video Frame InterpolationCode2
Event-Based Video Frame Interpolation With Cross-Modal Asymmetric Bidirectional Motion FieldsCode2
Semantic-Aware Adaptive Video Streaming Using Latent Diffusion Models for Wireless Networks—0
Explicit Depth-Aware Blurry Video Frame Interpolation Guided by Differential Curves—0
Hierarchical Flow Diffusion for Efficient Frame Interpolation—0
BiM-VFI: Bidirectional Motion Field-Guided Frame Interpolation for Video with Non-uniform Motions—0
Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks—0
Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation—0
GaraMoSt: Parallel Multi-Granularity Motion and Structural Modeling for Efficient Multi-Frame Interpolation in DSA ImagesCode1
BiM-VFI: directional Motion Field-Guided Frame Interpolation for Video with Non-uniform MotionsCode2
Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation—0
SfM-Free 3D Gaussian Splatting via Hierarchical TrainingCode2
High-Resolution Frame Interpolation with Patch-based Cascaded Diffusion—0
Quality Prediction of AI Generated Images and Videos: Emerging Trends and Opportunities—0
Z-upscaling: Optical Flow Guided Frame Interpolation for Isotropic Reconstruction of 3D EM VolumesCode0
SelfDRSC++: Self-Supervised Learning for Dual Reversed Rolling Shutter CorrectionCode0
360VFI: A Dataset and Benchmark for Omnidirectional Video Frame Interpolation—0
Mono-ViFI: A Unified Learning Framework for Self-supervised Single- and Multi-frame Monocular Depth EstimationCode2
Generalizable Implicit Motion Modeling for Video Frame Interpolation—0
MoSt-DSA: Modeling Motion and Structural Interactions for Direct Multi-Frame Interpolation in DSA ImagesCode1
Investigating Event-Based Cameras for Video Frame Interpolation in Sports—0
VFIMamba: Video Frame Interpolation with State Space ModelsCode2
Disentangled Motion Modeling for Video Frame InterpolationCode2
Video Frame Interpolation for Polarization via Swin-Transformer—0
LAVIB: A Large-scale Video Interpolation BenchmarkCode1
From Sim-to-Real: Toward General Event-based Low-light Frame Interpolation with Per-scene Optimization—0
Frame Interpolation with Consecutive Brownian Bridge DiffusionCode1
I^3Net: Inter-Intra-slice Interpolation Network for Medical Slice SynthesisCode0
Event-based Video Frame Interpolation with Edge Guided Motion Refinement—0
Motion-aware Latent Diffusion Models for Video Frame Interpolation—0
LADDER: An Efficient Framework for Video Frame Interpolation—0
Event-Enhanced Snapshot Compressive Videography at 10K FPS—0
Perception-Oriented Video Frame Interpolation via Asymmetric BlendingCode0
Sparse Global Matching for Video Frame Interpolation with Large MotionCode2
Benchmarking Video Frame Interpolation—0
Motion-Aware Video Frame Interpolation—0
TTA-EVF: Test-Time Adaptation for Event-based Video Frame Interpolation via Reliable Pixel and Sample EstimationCode0
Video Frame Interpolation via Direct Synthesis with the Event-based Reference—0
EVS-assisted Joint Deblurring Rolling-Shutter Correction and Video Frame Interpolation through Sensor Inverse Modeling—0
IQ-VFI: Implicit Quadratic Motion Estimation for Video Frame Interpolation—0
Video Frame Interpolation with Region-Distinguishable Priors from SAM—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