mlsanityData to 7 Oct 2026

Generative Visual Compression: A Review

arXiv 2402.02140 ↗First posted 3 Feb 2024cs.CV eess.IVcited by 13

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Abstract (arXiv)

Artificial Intelligence Generated Content (AIGC) is leading a new technical revolution for the acquisition of digital content and impelling the progress of visual compression towards competitive performance gains and diverse functionalities over traditional codecs. This paper provides a thorough review on the recent advances of generative visual compression, illustrating great potentials and promising applications in ultra-low bitrate communication, user-specified reconstruction/filtering, and intelligent machine analysis. In particular, we review the visual data compression methodologies with deep generative models, and summarize how compact representation and high-fidelity reconstruction could be actualized via generative techniques. In addition, we generalize related generative compression technologies for machine vision and intelligent analytics. Finally, we discuss the fundamental challenges on generative visual compression techniques and envision their future research directions.

Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). Builds on 56 of its 98 references that are in the map. First posted on arXiv 3 Feb 2024.

Builds on

56 of 98 references.

References · 56

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38 more
  1. 2020High-Fidelity Generative Image Compressioncited by 331
  2. 2022ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Codingcited by 296
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50 most cited of 56 All 56 (JSON)

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 4; 2025: 7; 2026: 2.

13 papers.

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  1. 2024MISC: Ultra-low Bitrate Image Semantic Compression Driven by Large Multimodal Modelcited by 29
  2. 2024M3-CVC: Controllable Video Compression with Multimodal Generative Modelscited by 9
  3. 2024Generative Human Video Compression with Multi-granularity Temporal Trajectory Factorizationcited by 5
  4. 2024Tokenizing Motion: A Generative Approach for Scene Dynamics Compressioncited by 3
  5. 2025Compressing Human Body Video with Interactive Semantics: A Generative Approachcited by 2
  6. 2025Rateless Joint Source-Channel Coding, and a Blueprint for 6G Semantic Communications System Designcited by 1
  7. 2025Rethinking Generative Human Video Coding with Implicit Motion Transformationcited by 1
  8. 2025Sparse2Dense: A Keypoint-driven Generative Framework for Human Video Compression and Vertex Predictioncited by 1
  9. 2025Compact Latent Representation for Image Compression (CLRIC)cited by 0
  10. 2025A Lightweight Dual-Mode Optimization for Generative Face Video Codingcited by 0
  11. 2025SDGIC: A Semantic Disambiguation-Guided Generative Image Compression Method for Ultra-Low Bitratescited by 0
  12. 2026Efficient Semantic Image Communication for Traffic Monitoring at the Edgecited by 0
1 more
  1. 2026PAT-VCM: Plug-and-Play Auxiliary Tokens for Video Coding for Machinescited by 0