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Quadratic video interpolation

arXiv 1911.00627 ↗First posted 2 Nov 2019cs.CVcited by 145

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Abstract (arXiv)

Video interpolation is an important problem in computer vision, which helps overcome the temporal limitation of camera sensors. Existing video interpolation methods usually assume uniform motion between consecutive frames and use linear models for interpolation, which cannot well approximate the complex motion in the real world. To address these issues, we propose a quadratic video interpolation method which exploits the acceleration information in videos. This method allows prediction with curvilinear trajectory and variable velocity, and generates more accurate interpolation results. For high-quality frame synthesis, we develop a flow reversal layer to estimate flow fields starting from the unknown target frame to the source frame. In addition, we present techniques for flow refinement. Extensive experiments demonstrate that our approach performs favorably against the existing linear models on a wide variety of video datasets.

Key facts. Cited by 145 papers in the map (data through 14 Oct 2026). First posted on arXiv 2 Nov 2019.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 25; 2022: 39; 2023: 31; 2024: 22; 2025: 17; 2026: 11.

145 papers.

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  1. 2022FlowFormer: A Transformer Architecture for Optical Flowcited by 275
  2. 2022VRT: A Video Restoration Transformercited by 220
  3. 2023AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolationcited by 180
  4. 2024SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flowcited by 174
  5. 2021TimeLens: Event-based Video Frame Interpolationcited by 151
  6. 2021XVFI: eXtreme Video Frame Interpolationcited by 126
  7. 2021Video Frame Interpolation Transformercited by 123
  8. 2022Time Lens++: Event-based Frame Interpolation with Parametric Non-linear Flow and Multi-scale Fusioncited by 111
  9. 2022IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolationcited by 109
  10. 2022VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolutioncited by 101
  11. 2023LDMVFI: Video Frame Interpolation with Latent Diffusion Modelscited by 89
  12. 2024Video Interpolation with Diffusion Modelscited by 68
38 more
  1. 2024ToonCrafter: Generative Cartoon Interpolationcited by 68
  2. 2021Deep Animation Video Interpolation in the Wildcited by 65
  3. 2022High-resolution Face Swapping via Latent Semantics Disentanglementcited by 57
  4. 2021CDFI: Compression-Driven Network Design for Frame Interpolationcited by 56
  5. 2023A Dynamic Multi-Scale Voxel Flow Network for Video Predictioncited by 53
  6. 2024Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolationcited by 44
  7. 2022TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolationcited by 37
  8. 2022FloLPIPS: A Bespoke Video Quality Metric for Frame Interpoationcited by 37
  9. 20213D Human Texture Estimation from a Single Image with Transformerscited by 35
  10. 2021ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Interpolationcited by 35
  11. 2025WAFT: Warping-Alone Field Transforms for Optical Flowcited by 34
  12. 2021Extending Neural P-frame Codecs for B-frame Codingcited by 30
  13. 2022Optimizing Video Prediction via Video Frame Interpolationcited by 28
  14. 2024Sparse Global Matching for Video Frame Interpolation with Large Motioncited by 28
  15. 2023A Unified Framework for Event-based Frame Interpolation with Ad-hoc Deblurring in the Wildcited by 27
  16. 2025Event-Based Video Frame Interpolation With Cross-Modal Asymmetric Bidirectional Motion Fieldscited by 25
  17. 2021Video Frame Interpolation without Temporal Priorscited by 24
  18. 2024Framer: Interactive Frame Interpolationcited by 24
  19. 2024Perception-Oriented Video Frame Interpolation via Asymmetric Blendingcited by 23
  20. 2022RealFlow: EM-based Realistic Optical Flow Dataset Generation from Videoscited by 22
  21. 2024Explorative Inbetweening of Time and Spacecited by 21
  22. 2021Improving the Perceptual Quality of 2D Animation Interpolationcited by 20
  23. 2022Splatting-based Synthesis for Video Frame Interpolationcited by 20
  24. 2021Learning for Unconstrained Space-Time Video Super-Resolutioncited by 18
  25. 2022Video Interpolation by Event-driven Anisotropic Adjustment of Optical Flowcited by 18
  26. 2023Diverse 3D Hand Gesture Prediction from Body Dynamics by Bilateral Hand Disentanglementcited by 18
  27. 2021DeMFI: Deep Joint Deblurring and Multi-Frame Interpolation with Flow-Guided Attentive Correlation and Recursive Boostingcited by 17
  28. 2022Exploring Motion Ambiguity and Alignment for High-Quality Video Frame Interpolationcited by 17
  29. 2024AniClipart: Clipart Animation with Text-to-Video Priorscited by 17
  30. 2021Self-Supervised Depth and Ego-Motion Estimation for Monocular Thermal Video Using Multi-Spectral Consistency Losscited by 16
  31. 2021Comparing Correspondences: Video Prediction with Correspondence-wise Lossescited by 16
  32. 2023Joint Video Multi-Frame Interpolation and Deblurring under Unknown Exposure Timecited by 16
  33. 2024Generalizable Implicit Motion Modeling for Video Frame Interpolationcited by 16
  34. 2021NTIRE 2021 Challenge on Video Super-Resolutioncited by 15
  35. 20223D Moments from Near-Duplicate Photoscited by 15
  36. 2022Context-Aware Video Reconstruction for Rolling Shutter Camerascited by 15
  37. 2022A Perceptual Quality Metric for Video Frame Interpolationcited by 15
  38. 2022TTVFI: Learning Trajectory-Aware Transformer for Video Frame Interpolationcited by 14

50 most cited of 145 All 145 (JSON)