mlsanityData to 14 Oct 2026

COOL-CHIC: Coordinate-based Low Complexity Hierarchical Image Codec

arXiv 2212.05458 ↗First posted 11 Dec 2022eess.IV eess.SPcited by 51

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Abstract (arXiv)

We introduce COOL-CHIC, a Coordinate-based Low Complexity Hierarchical Image Codec. It is a learned alternative to autoencoders with 629 parameters and 680 multiplications per decoded pixel. COOL-CHIC offers compression performance close to modern conventional MPEG codecs such as HEVC and is competitive with popular autoencoder-based systems. This method is inspired by Coordinate-based Neural Representations, where an image is represented as a learned function which maps pixel coordinates to RGB values. The parameters of the mapping function are then sent using entropy coding. At the receiver side, the compressed image is obtained by evaluating the mapping function for all pixel coordinates. COOL-CHIC implementation is made open-source.

Key facts. Cited by 51 papers in the map (data through 14 Oct 2026). First posted on arXiv 11 Dec 2022.

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Citing papers per year: 2023: 10; 2024: 12; 2025: 12; 2026: 17.

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  1. 2024GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splattingcited by 99
  2. 2023HiNeRV: Video Compression with Hierarchical Encoding-based Neural Representationcited by 71
  3. 2023C3: High-performance and low-complexity neural compression from a single image or videocited by 55
  4. 2023Modality-Agnostic Variational Compression of Implicit Neural Representationscited by 22
  5. 2024Compression via Pre-trained Transformers: A Study on Byte-Level Multimodal Datacited by 13
  6. 2024Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortioncited by 13
  7. 2024Cool-chic video: Learned video coding with 800 parameterscited by 11
  8. 2023RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representationscited by 9
  9. 2023In Search of a Data Transformation That Accelerates Neural Field Trainingcited by 7
  10. 2023Scene Matters: Model-based Deep Video Compressioncited by 6
  11. 2025Content-Aware Mamba for Learned Image Compressioncited by 6
  12. 2025GaussianImage++: Boosted Image Representation and Compression with 2D Gaussian Splattingcited by 5
38 more
  1. 2023CAwa-NeRF: Instant Learning of Compression-Aware NeRF Featurescited by 4
  2. 2024JPEG AI Image Compression Visual Artifacts: Detection Methods and Datasetcited by 4
  3. 2024Hybrid Neural Representations for Spherical Datacited by 3
  4. 2024Neural Video Representation for Redundancy Reduction and Consistency Preservationcited by 3
  5. 2025UAR-NVC: A Unified AutoRegressive Framework for Memory-Efficient Neural Video Compressioncited by 3
  6. 2025How to Design and Train Your Implicit Neural Representation for Video Compressioncited by 3
  7. 2026Enhanced Neural Video Representation Compression Across Extreme Complexity and Quality Scalescited by 3
  8. 2024An Efficient Implicit Neural Representation Image Codec Based on Mixed Autoregressive Model for Low-Complexity Decodingcited by 2
  9. 2024Survey on Visual Signal Coding and Processing with Generative Models: Technologies, Standards and Optimizationcited by 2
  10. 2024Unicorn: Unified Neural Image Compression with One Number Reconstructioncited by 2
  11. 2025CANeRV: Content Adaptive Neural Representation for Video Compressioncited by 2
  12. 2025Dataset Distillation as Data Compression: A Rate-Utility Perspectivecited by 2
  13. 2026Compression as Adaptation: Implicit Visual Representation with Diffusion Foundation Modelscited by 2
  14. 2023INR-MDSQC: Implicit Neural Representation Multiple Description Scalar Quantization for robust image Codingcited by 1
  15. 20233D Compression Using Neural Fieldscited by 1
  16. 2025Image Coding for Machines via Feature-Preserving Rate-Distortion Optimizationcited by 1
  17. 2026TeCoNeRV: Leveraging Temporal Coherence for Compressible Neural Representations for Videoscited by 1
  18. 2023Implicit Neural Multiple Description for DNA-based data storagecited by 0
  19. 2024D'OH: Decoder-Only Random Hypernetworks for Implicit Neural Representationscited by 0
  20. 2024Quantum Implicit Neural Compressioncited by 0
  21. 2025Compact Latent Representation for Image Compression (CLRIC)cited by 0
  22. 2025LoC-LIC: Low Complexity Learned Image Coding Using Hierarchical Feature Transformscited by 0
  23. 2025Structure-Preserving Patch Decoding for Efficient Neural Video Representationcited by 0
  24. 2025Keep It Real: Challenges in Attacking Compression-Based Adversarial Purificationcited by 0
  25. 2025From Noise to Latent: Generating Gaussian Latents for INR-Based Image Compressioncited by 0
  26. 2026GIC-DLC: Differentiable Logic Circuits for Hardware-Friendly Grayscale Image Compressioncited by 0
  27. 2026DepthTCM: High Efficient Depth Compression via Physics-aware Transformer-CNN Mixed Architecturecited by 0
  28. 2026Lossless Compression via Chained Lightweight Neural Predictors with Information Inheritancecited by 0
  29. 2026ImplicitTerrainV2: Wavelet-Guided Spatially Adaptive Neural Terrain Representationcited by 0
  30. 2026Rethinking Amortized Neural Representations for High-Resolution Terrain Elevation Datacited by 0
  31. 2026Seeing What Matters: Perceptual Wrapper with Common Randomness for 3D Gaussian Splattingcited by 0
  32. 2026High-Fidelity Video Compression based on Invertible Neural Transform and Implicit Conditioningcited by 0
  33. 2026PaaF: Raising the perceived quality of INR-Based Image Compressioncited by 0
  34. 2026JPEG AIC2026: A large-scale dataset for fine-grained assessment of image codingcited by 0
  35. 2026Scalable Neural Video Representation Compressioncited by 0
  36. 2026Multi-scale Image Representation Compressioncited by 0
  37. 2026PIC: Revisiting INR for Image Coding with Fast Encoding and Sub-Millisecond Decodingcited by 0
  38. 2026PULSE: Unlocking Practical Image Compression on Single-Thread CPUcited by 0

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