mlsanityData to 14 Oct 2026

Video Compression through Image Interpolation

arXiv 1804.06919 ↗First posted 18 Apr 2018cs.CVcited by 143

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Abstract (arXiv)

An ever increasing amount of our digital communication, media consumption, and content creation revolves around videos. We share, watch, and archive many aspects of our lives through them, all of which are powered by strong video compression. Traditional video compression is laboriously hand designed and hand optimized. This paper presents an alternative in an end-to-end deep learning codec. Our codec builds on one simple idea: Video compression is repeated image interpolation. It thus benefits from recent advances in deep image interpolation and generation. Our deep video codec outperforms today's prevailing codecs, such as H.261, MPEG-4 Part 2, and performs on par with H.264.

Key facts. Cited by 143 papers in the map (data through 14 Oct 2026). First posted on arXiv 18 Apr 2018.

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Citing papers per year: 2020: 1; 2021: 28; 2022: 42; 2023: 24; 2024: 25; 2025: 15; 2026: 8.

143 papers.

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  1. 2021NeRV: Neural Representations for Videoscited by 256
  2. 2021Deep Contextual Video Compressioncited by 221
  3. 2023AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolationcited by 180
  4. 2022Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communicationscited by 175
  5. 2023Neural Video Compression with Diverse Contextscited by 165
  6. 2021FVC: A New Framework towards Deep Video Compression in Feature Spacecited by 153
  7. 2021TimeLens: Event-based Video Frame Interpolationcited by 151
  8. 2022Hybrid Spatial-Temporal Entropy Modelling for Neural Video Compressioncited by 128
  9. 2021Temporal Context Mining for Learned Video Compressioncited by 117
  10. 2023HNeRV: A Hybrid Neural Representation for Videoscited by 100
  11. 2023Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolationcited by 98
  12. 2023LDMVFI: Video Frame Interpolation with Latent Diffusion Modelscited by 89
38 more
  1. 2022An Introduction to Neural Data Compressioncited by 79
  2. 2022VCT: A Video Compression Transformercited by 74
  3. 2021ELF-VC: Efficient Learned Flexible-Rate Video Codingcited by 69
  4. 2021VoxelContext-Net: An Octree based Framework for Point Cloud Compressioncited by 61
  5. 2022Coarse-to-fine Deep Video Coding with Hyperprior-guided Mode Predictioncited by 55
  6. 2021Implicit Neural Video Compressioncited by 52
  7. 2021DeepWiVe: Deep-Learning-Aided Wireless Video Transmissioncited by 45
  8. 2022Many-to-many Splatting for Efficient Video Frame Interpolationcited by 42
  9. 2021Perceptual Learned Video Compression with Recurrent Conditional GANcited by 41
  10. 2021Overfitting for Fun and Profit: Instance-Adaptive Data Compressioncited by 38
  11. 2022FloLPIPS: A Bespoke Video Quality Metric for Frame Interpoationcited by 37
  12. 2023Towards Scalable Neural Representation for Diverse Videoscited by 37
  13. 2021Neural Video Compression using GANs for Detail Synthesis and Propagationcited by 36
  14. 2021ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Interpolationcited by 35
  15. 2023A Residual Diffusion Model for High Perceptual Quality Codec Augmentationcited by 35
  16. 2022PS-NeRV: Patch-wise Stylized Neural Representations for Videoscited by 32
  17. 2021Extending Neural P-frame Codecs for B-frame Codingcited by 30
  18. 2024Sparse Global Matching for Video Frame Interpolation with Large Motioncited by 28
  19. 2023A Unified Framework for Event-based Frame Interpolation with Ad-hoc Deblurring in the Wildcited by 27
  20. 2021Efficient Video Compression via Content-Adaptive Super-Resolutioncited by 26
  21. 2024DS-NeRV: Implicit Neural Video Representation with Decomposed Static and Dynamic Codescited by 25
  22. 2022Imposing Consistency for Optical Flow Estimationcited by 24
  23. 2023BiFormer: Learning Bilateral Motion Estimation via Bilateral Transformer for 4K Video Frame Interpolationcited by 23
  24. 2024Spatial Decomposition and Temporal Fusion based Inter Prediction for Learned Video Compressioncited by 23
  25. 2022CNeRV: Content-adaptive Neural Representation for Visual Datacited by 21
  26. 2022Splatting-based Synthesis for Video Frame Interpolationcited by 20
  27. 2024Bi-Directional Deep Contextual Video Compressioncited by 20
  28. 2022MobileCodec: Neural Inter-frame Video Compression on Mobile Devicescited by 19
  29. 2024Frame Interpolation with Consecutive Brownian Bridge Diffusioncited by 19
  30. 2025EDEN: Enhanced Diffusion for High-quality Large-motion Video Frame Interpolationcited by 19
  31. 2021Instance-Adaptive Video Compression: Improving Neural Codecs by Training on the Test Setcited by 18
  32. 2022B-CANF: Adaptive B-frame Coding with Conditional Augmented Normalizing Flowscited by 18
  33. 2022A Coding Framework and Benchmark towards Low-Bitrate Video Understandingcited by 17
  34. 2024Generalizable Implicit Motion Modeling for Video Frame Interpolationcited by 16
  35. 2022SC2 Benchmark: Supervised Compression for Split Computingcited by 15
  36. 2022A Perceptual Quality Metric for Video Frame Interpolationcited by 15
  37. 2022TTVFI: Learning Trajectory-Aware Transformer for Video Frame Interpolationcited by 14
  38. 2022Advancing Learned Video Compression with In-loop Frame Predictioncited by 14

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