mlsanityData to 7 Oct 2026

Flow-edge Guided Video Completion

arXiv 2009.01835 ↗First posted 3 Sep 2020cs.CVcited by 104

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Abstract (arXiv)

We present a new flow-based video completion algorithm. Previous flow completion methods are often unable to retain the sharpness of motion boundaries. Our method first extracts and completes motion edges, and then uses them to guide piecewise-smooth flow completion with sharp edges. Existing methods propagate colors among local flow connections between adjacent frames. However, not all missing regions in a video can be reached in this way because the motion boundaries form impenetrable barriers. Our method alleviates this problem by introducing non-local flow connections to temporally distant frames, enabling propagating video content over motion boundaries. We validate our approach on the DAVIS dataset. Both visual and quantitative results show that our method compares favorably against the state-of-the-art algorithms.

Key facts. Cited by 104 papers in the map (data through 7 Oct 2026). First posted on arXiv 3 Sep 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 17; 2022: 20; 2023: 22; 2024: 18; 2025: 18; 2026: 9.

104 papers.

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  1. 2022FlowFormer: A Transformer Architecture for Optical Flowcited by 273
  2. 2023ProPainter: Improving Propagation and Transformer for Video Inpaintingcited by 193
  3. 2024SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flowcited by 169
  4. 2023FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimationcited by 114
  5. 2022Towards An End-to-End Framework for Flow-Guided Video Inpaintingcited by 111
  6. 2025VideoPainter: Any-length Video Inpainting and Editing with Plug-and-Play Context Controlcited by 83
  7. 2023VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimationcited by 82
  8. 2021Explainability of deep vision-based autonomous driving systems: Review and challengescited by 80
  9. 2022Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applicationscited by 78
  10. 2022Removing Objects From Neural Radiance Fieldscited by 66
  11. 2022Flow-Guided Transformer for Video Inpaintingcited by 59
  12. 2024MemFlow: Optical Flow Estimation and Prediction with Memorycited by 55
38 more
  1. 2024InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Priorcited by 55
  2. 2023Shape-aware Text-driven Layered Video Editingcited by 54
  3. 2021Omnimatte: Associating Objects and Their Effects in Videocited by 50
  4. 2024Deep Learning-based Image and Video Inpainting: A Surveycited by 44
  5. 2024Generative Omnimatte: Learning to Decompose Video into Layerscited by 38
  6. 2021Progressive Temporal Feature Alignment Network for Video Inpaintingcited by 34
  7. 2023Rethinking Optical Flow from Geometric Matching Consistent Perspectivecited by 33
  8. 2022Bringing Old Films Back to Lifecited by 31
  9. 2021Occlusion-Aware Video Object Inpaintingcited by 30
  10. 2024MVInpainter: Learning Multi-View Consistent Inpainting to Bridge 2D and 3D Editingcited by 30
  11. 2024Be-Your-Outpainter: Mastering Video Outpainting through Input-Specific Adaptationcited by 29
  12. 2021Decoupled Spatial-Temporal Transformer for Video Inpaintingcited by 28
  13. 2022The Anatomy of Video Editing: A Dataset and Benchmark Suite for AI-Assisted Video Editingcited by 24
  14. 2021Hybrid Neural Fusion for Full-frame Video Stabilizationcited by 21
  15. 2022ZITS++: Image Inpainting by Improving the Incremental Transformer on Structural Priorscited by 21
  16. 2024Video Diffusion Models are Strong Video Inpaintercited by 21
  17. 2022Error Compensation Framework for Flow-Guided Video Inpaintingcited by 20
  18. 2021Internal Video Inpainting by Implicit Long-range Propagationcited by 19
  19. 2023AccFlow: Backward Accumulation for Long-Range Optical Flowcited by 19
  20. 2023SAMFlow: Eliminating Any Fragmentation in Optical Flow with Segment Anything Modelcited by 15
  21. 2025OmnimatteZero: Fast Training-free Omnimatte with Pre-trained Video Diffusion Modelscited by 15
  22. 2022Optical Flow Training under Limited Label Budget via Active Learningcited by 14
  23. 2023Bitstream-Corrupted Video Recovery: A Novel Benchmark Dataset and Methodcited by 14
  24. 2025MTV-Inpaint: Multi-Task Long Video Inpaintingcited by 14
  25. 20253D Scene Prompting for Scene-Consistent Camera-Controllable Video Generationcited by 13
  26. 2021Flow-Guided Video Inpainting with Scene Templatescited by 12
  27. 2022DeViT: Deformed Vision Transformers in Video Inpaintingcited by 12
  28. 2021Deep Video Inpainting Detectioncited by 11
  29. 2021The DEVIL is in the Details: A Diagnostic Evaluation Benchmark for Video Inpaintingcited by 11
  30. 2023Flow-Guided Diffusion for Video Inpaintingcited by 11
  31. 2024VidPanos: Generative Panoramic Videos from Casual Panning Videoscited by 11
  32. 2025TACO: Taming Diffusion for in-the-wild Video Amodal Completioncited by 10
  33. 2023SemARFlow: Injecting Semantics into Unsupervised Optical Flow Estimation for Autonomous Drivingcited by 9
  34. 2023GRACE: Loss-Resilient Real-Time Video through Neural Codecscited by 9
  35. 2026PISCO: Precise Video Instance Insertion with Sparse Controlcited by 9
  36. 2022Semi-Supervised Video Inpainting with Cycle Consistency Constraintscited by 8
  37. 2022FactorMatte: Redefining Video Matting for Re-Composition Taskscited by 8
  38. 2024Semantically Consistent Video Inpainting with Conditional Diffusion Modelscited by 8

50 most cited of 104 All 104 (JSON)