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Towards Conceptual Compression

arXiv 1604.08772 ↗First posted 29 Apr 2016stat.ML cs.CV cs.LGcited by 36

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Abstract (arXiv)

We introduce a simple recurrent variational auto-encoder architecture that significantly improves image modeling. The system represents the state-of-the-art in latent variable models for both the ImageNet and Omniglot datasets. We show that it naturally separates global conceptual information from lower level details, thus addressing one of the fundamentally desired properties of unsupervised learning. Furthermore, the possibility of restricting ourselves to storing only global information about an image allows us to achieve high quality 'conceptual compression'.

Key facts. Cited by 36 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Apr 2016.

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Citing papers per year: 2021: 10; 2022: 10; 2023: 6; 2024: 7; 2025: 2; 2026: 1.

36 papers.

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  1. 2023Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examplescited by 163
  2. 2022An Introduction to Neural Data Compressioncited by 78
  3. 2021Densely connected normalizing flowscited by 49
  4. 2021Slimmable Compressive Autoencoders for Practical Neural Image Compressioncited by 38
  5. 2022Image Compression with Product Quantized Masked Image Modelingcited by 32
  6. 2021DPICT: Deep Progressive Image Compression Using Trit-Planescited by 25
  7. 2023AI-Generated Content (AIGC) for Various Data Modalities: A Surveycited by 25
  8. 2023Context-Based Trit-Plane Coding for Progressive Image Compressioncited by 21
  9. 2021Cauchy-Schwarz Regularized Autoencodercited by 13
  10. 2022Learning-Driven Lossy Image Compression; A Comprehensive Surveycited by 13
  11. 2023ProgDTD: Progressive Learned Image Compression with Double-Tail-Drop Trainingcited by 13
  12. 2022Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utilitycited by 12
24 more
  1. 2021Thousand to One: Semantic Prior Modeling for Conceptual Codingcited by 9
  2. 2021Pragmatic Image Compression for Human-in-the-Loop Decision-Makingcited by 7
  3. 2022Reducing Redundancy in the Bottleneck Representation of the Autoencoderscited by 5
  4. 2024Entropy-Informed Weighting Channel Normalizing Flow for Deep Generative Modelscited by 5
  5. 2024Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encodingcited by 4
  6. 2024A Non-negative VAE:the Generalized Gamma Belief Networkcited by 4
  7. 2024Efficient Progressive Image Compression with Variance-aware Maskingcited by 4
  8. 2021What Is Considered Complete for Visual Recognition?cited by 3
  9. 2021ByPE-VAE: Bayesian Pseudocoresets Exemplar VAEcited by 2
  10. 2021STR-GQN: Scene Representation and Rendering for Unknown Cameras Based on Spatial Transformation Routingcited by 2
  11. 2022An Empirical Analysis of Recurrent Learning Algorithms In Neural Lossy Image Compression Systemscited by 2
  12. 2022RD-Optimized Trit-Plane Coding of Deep Compressed Image Latent Tensorscited by 2
  13. 2024Diffusion Probabilistic Multi-cue Level Set for Reducing Edge Uncertainty in Pancreas Segmentationcited by 2
  14. 2021NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generationcited by 1
  15. 2023Compression of GPS Trajectories using Autoencoderscited by 1
  16. 2025LimitNet: Progressive, Content-Aware Image Offloading for Extremely Weak Devices & Networkscited by 1
  17. 2022Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decodercited by 0
  18. 2022Character Generation through Self-Supervised Vectorizationcited by 0
  19. 2022Latent Discretization for Continuous-time Sequence Compressioncited by 0
  20. 2023Joint Hierarchical Priors and Adaptive Spatial Resolution for Efficient Neural Image Compressioncited by 0
  21. 2024PACA: Perspective-Aware Cross-Attention Representation for Zero-Shot Scene Rearrangementcited by 0
  22. 2024Image Compression Using Novel View Synthesis Priorscited by 0
  23. 2025HCF: Hierarchical Cascade Framework for Distributed Multi-Stage Image Compressioncited by 0
  24. 2026ProGS: Towards Progressive Coding for 3D Gaussian Splattingcited by 0