mlsanityData to 7 Oct 2026

Conditional Coding for Flexible Learned Video Compression

arXiv 2104.07930 ↗First posted 16 Apr 2021eess.IV eess.SPcited by 25

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Abstract (arXiv)

This paper introduces a novel framework for end-to-end learned video coding. Image compression is generalized through conditional coding to exploit information from reference frames, allowing to process intra and inter frames with the same coder. The system is trained through the minimization of a rate-distortion cost, with no pre-training or proxy loss. Its flexibility is assessed under three coding configurations (All Intra, Low-delay P and Random Access), where it is shown to achieve performance competitive with the state-of-the-art video codec HEVC.

Key facts. Cited by 25 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Apr 2021.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 3; 2022: 8; 2023: 5; 2024: 3; 2025: 3; 2026: 3.

25 papers.

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  1. 2021Deep Contextual Video Compressioncited by 216
  2. 2023Neural Video Compression with Diverse Contextscited by 155
  3. 2022Hybrid Spatial-Temporal Entropy Modelling for Neural Video Compressioncited by 123
  4. 2024Neural Video Compression with Feature Modulationcited by 115
  5. 2025Towards Practical Real-Time Neural Video Compressioncited by 72
  6. 2022CANF-VC: Conditional Augmented Normalizing Flows for Video Compressioncited by 44
  7. 2022B-CANF: Adaptive B-frame Coding with Conditional Augmented Normalizing Flowscited by 18
  8. 2023Hierarchical B-frame Video Coding Using Two-Layer CANF without Motion Codingcited by 14
  9. 2021Learning Cross-Scale Weighted Prediction for Efficient Neural Video Compressioncited by 12
  10. 2021Versatile Learned Video Compressioncited by 7
  11. 2022Flexible-Rate Learned Hierarchical Bi-Directional Video Compression With Motion Refinement and Frame-Level Bit Allocationcited by 7
  12. 2025EHVC: Efficient Hierarchical Reference and Quality Structure for Neural Video Codingcited by 6
13 more
  1. 2022Boosting neural video codecs by exploiting hierarchical redundancycited by 5
  2. 2023Multi-Scale Deformable Alignment and Content-Adaptive Inference for Flexible-Rate Bi-Directional Video Compressioncited by 5
  3. 2023Learned Scalable Video Coding For Humans and Machinescited by 5
  4. 2026Ultra-Fast Neural Video Compressioncited by 3
  5. 2026Enhanced Neural Video Representation Compression Across Extreme Complexity and Quality Scalescited by 3
  6. 2022Microdosing: Knowledge Distillation for GAN based Compressioncited by 2
  7. 2023Conditional and Residual Methods in Scalable Coding for Humans and Machinescited by 2
  8. 2024Low-Latency Neural Stereo Streamingcited by 2
  9. 2026Efficient Video Diffusion with Sparse Information Transmission for Video Compressioncited by 1
  10. 2022CAESR: Conditional Autoencoder and Super-Resolution for Learned Spatial Scalabilitycited by 0
  11. 2022Learned Hierarchical B-frame Coding with Adaptive Feature Modulation for YUV 4:2:0 Contentcited by 0
  12. 2024Efficient Compression of Sparse Accelerator Data Using Implicit Neural Representations and Importance Samplingcited by 0
  13. 2025Neural Video Compression with In-Loop Contextual Filtering and Out-of-Loop Reconstruction Enhancementcited by 0