mlsanityData to 7 Oct 2026

Generative Compression

arXiv 1703.01467 ↗First posted 4 Mar 2017cs.CVcited by 40

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Abstract (arXiv)

Traditional image and video compression algorithms rely on hand-crafted encoder/decoder pairs (codecs) that lack adaptability and are agnostic to the data being compressed. Here we describe the concept of generative compression, the compression of data using generative models, and suggest that it is a direction worth pursuing to produce more accurate and visually pleasing reconstructions at much deeper compression levels for both image and video data. We also demonstrate that generative compression is orders-of-magnitude more resilient to bit error rates (e.g. from noisy wireless channels) than traditional variable-length coding schemes.

Key facts. Cited by 40 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Mar 2017.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 9; 2022: 12; 2023: 4; 2024: 9; 2025: 4; 2026: 2.

40 papers.

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  1. 2021Enhanced Invertible Encoding for Learned Image Compressioncited by 102
  2. 2022Multi-Realism Image Compression with a Conditional Generatorcited by 79
  3. 2022An Introduction to Neural Data Compressioncited by 78
  4. 2023High-Fidelity Image Compression with Score-based Generative Modelscited by 53
  5. 2021Neural Video Compression using GANs for Detail Synthesis and Propagationcited by 35
  6. 2022Towards Semantic Communications: Deep Learning-Based Image Semantic Codingcited by 35
  7. 2021Learned Image Compression with Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modulescited by 33
  8. 2022Image Compression with Product Quantized Masked Image Modelingcited by 32
  9. 2021A coding theorem for the rate-distortion-perception functioncited by 30
  10. 2022Extreme Generative Image Compression by Learning Text Embedding from Diffusion Modelscited by 30
  11. 2021On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Frameworkcited by 27
  12. 2023Extreme Image Compression using Fine-tuned VQGANscited by 27
28 more
  1. 2024SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Trafficcited by 27
  2. 2024Lossless data compression by large modelscited by 20
  3. 2024Once-for-All: Controllable Generative Image Compression with Dynamic Granularity Adaptationcited by 15
  4. 2022Optimally Controllable Perceptual Lossy Compressioncited by 13
  5. 2023EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by Semantic Segmentationcited by 13
  6. 2024Generative Visual Compression: A Reviewcited by 13
  7. 2022Perceptual Learned Source-Channel Coding for High-Fidelity Image Semantic Transmissioncited by 12
  8. 2022Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utilitycited by 12
  9. 2021A Cross Channel Context Model for Latents in Deep Image Compressioncited by 10
  10. 2022Learned Image Compression with Generalized Octave Convolution and Cross-Resolution Parameter Estimationcited by 6
  11. 2021Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Modelscited by 5
  12. 2022Video Coding Using Learned Latent GAN Compressioncited by 4
  13. 2024Super-High-Fidelity Image Compression via Hierarchical-ROI and Adaptive Quantizationcited by 4
  14. 2025Synonymous Variational Inference for Perceptual Image Compressioncited by 4
  15. 2021Substitutional Neural Image Compressioncited by 3
  16. 2021A New Image Codec Paradigm for Human and Machine Usescited by 3
  17. 2023You Can Mask More For Extremely Low-Bitrate Image Compressioncited by 3
  18. 2024Learning Images Across Scales Using Adversarial Trainingcited by 3
  19. 2022Improving Performance of Semantic Segmentation CycleGANs by Noise Injection into the Latent Segmentation Spacecited by 2
  20. 2024Wavelet-Like Transform-Based Technology in Response to the Call for Proposals on Neural Network-Based Image Codingcited by 2
  21. 2024Conditional Hallucinations for Image Compressioncited by 2
  22. 2024Enhancing Learned Image Compression via Cross Window-based Attentioncited by 1
  23. 2025Bitstream Collisions in Neural Image Compression via Adversarial Perturbationscited by 1
  24. 2025Topology Guidance: Controlling the Outputs of Generative Models via Vector Field Topologycited by 1
  25. 2026Efficient Video Diffusion with Sparse Information Transmission for Video Compressioncited by 1
  26. 2022Convolutional Neural Network (CNN) to reduce construction loss in JPEG compression caused by Discrete Fourier Transform (DFT)cited by 0
  27. 2025SDGIC: A Semantic Disambiguation-Guided Generative Image Compression Method for Ultra-Low Bitratescited by 0
  28. 2026Efficient Semantic Image Communication for Traffic Monitoring at the Edgecited by 0