mlsanityData to 14 Oct 2026

Video Enhancement with Task-Oriented Flow

arXiv 1711.09078 ↗First posted 24 Nov 2017cs.CVcited by 619

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Cited by 51 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Many video enhancement algorithms rely on optical flow to register frames in a video sequence. Precise flow estimation is however intractable; and optical flow itself is often a sub-optimal representation for particular video processing tasks. In this paper, we propose task-oriented flow (TOFlow), a motion representation learned in a self-supervised, task-specific manner. We design a neural network with a trainable motion estimation component and a video processing component, and train them jointly to learn the task-oriented flow. For evaluation, we build Vimeo-90K, a large-scale, high-quality video dataset for low-level video processing. TOFlow outperforms traditional optical flow on standard benchmarks as well as our Vimeo-90K dataset in three video processing tasks: frame interpolation, video denoising/deblocking, and video super-resolution.

Key facts. Cited by 619 papers in the map (data through 14 Oct 2026). First posted on arXiv 24 Nov 2017.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 93; 2022: 143; 2023: 108; 2024: 114; 2025: 98; 2026: 63.

619 papers.

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  1. 2021BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignmentcited by 342
  2. 2022MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolationcited by 309
  3. 2021Deep Contextual Video Compressioncited by 221
  4. 2022VRT: A Video Restoration Transformercited by 220
  5. 2024How Far is Video Generation from World Model: A Physical Law Perspectivecited by 212
  6. 2023AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolationcited by 180
  7. 2022VFHQ: A High-Quality Dataset and Benchmark for Video Face Super-Resolutioncited by 176
  8. 2022Recurrent Video Restoration Transformer with Guided Deformable Attentioncited by 170
  9. 2022Lossy Image Compression with Conditional Diffusion Modelscited by 170
  10. 2023Neural Video Compression with Diverse Contextscited by 165
  11. 2021FVC: A New Framework towards Deep Video Compression in Feature Spacecited by 153
  12. 2022FILM: Frame Interpolation for Large Motioncited by 153
38 more
  1. 2021TimeLens: Event-based Video Frame Interpolationcited by 151
  2. 2021Low-Light Image and Video Enhancement Using Deep Learning: A Surveycited by 148
  3. 2021Modulated Periodic Activations for Generalizable Local Functional Representationscited by 140
  4. 2021Investigating Tradeoffs in Real-World Video Super-Resolutioncited by 134
  5. 2023Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolutioncited by 132
  6. 2022Hybrid Spatial-Temporal Entropy Modelling for Neural Video Compressioncited by 128
  7. 2021XVFI: eXtreme Video Frame Interpolationcited by 126
  8. 2023VideoBooth: Diffusion-based Video Generation with Image Promptscited by 126
  9. 2021Video Frame Interpolation Transformercited by 123
  10. 2024Neural Video Compression with Feature Modulationcited by 123
  11. 2021Video Super-Resolution Transformercited by 121
  12. 2021Temporal Context Mining for Learned Video Compressioncited by 117
  13. 2022Towards An End-to-End Framework for Flow-Guided Video Inpaintingcited by 113
  14. 2023Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervisioncited by 112
  15. 2022Time Lens++: Event-based Frame Interpolation with Parametric Non-linear Flow and Multi-scale Fusioncited by 111
  16. 2022IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolationcited by 109
  17. 2021Asymmetric Bilateral Motion Estimation for Video Frame Interpolationcited by 101
  18. 2022VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolutioncited by 101
  19. 2023Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolationcited by 98
  20. 2023LDMVFI: Video Frame Interpolation with Latent Diffusion Modelscited by 89
  21. 2022COIN++: Neural Compression Across Modalitiescited by 82
  22. 2025Towards Practical Real-Time Neural Video Compressioncited by 80
  23. 2023Free-Bloom: Zero-Shot Text-to-Video Generator with LLM Director and LDM Animatorcited by 74
  24. 2022Rethinking Alignment in Video Super-Resolution Transformerscited by 71
  25. 2021ELF-VC: Efficient Learned Flexible-Rate Video Codingcited by 69
  26. 2022A Simple Baseline for Video Restoration with Grouped Spatial-temporal Shiftcited by 68
  27. 2024Video Interpolation with Diffusion Modelscited by 68
  28. 2023Text + Sketch: Image Compression at Ultra Low Ratescited by 67
  29. 2024VEnhancer: Generative Space-Time Enhancement for Video Generationcited by 64
  30. 2022Learning Trajectory-Aware Transformer for Video Super-Resolutioncited by 61
  31. 2022Unifying Motion Deblurring and Frame Interpolation with Eventscited by 58
  32. 2021CDFI: Compression-Driven Network Design for Frame Interpolationcited by 56
  33. 2025STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolutioncited by 56
  34. 2022Coarse-to-fine Deep Video Coding with Hyperprior-guided Mode Predictioncited by 55
  35. 2021Temporal Modulation Network for Controllable Space-Time Video Super-Resolutioncited by 54
  36. 2021Joint Global and Local Hierarchical Priors for Learned Image Compressioncited by 54
  37. 2023A Dynamic Multi-Scale Voxel Flow Network for Video Predictioncited by 53
  38. 2022Wireless Deep Video Semantic Transmissioncited by 50

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