mlsanityData to 7 Oct 2026

PO-ELIC: Perception-Oriented Efficient Learned Image Coding

arXiv 2205.14501 ↗First posted 28 May 2022eess.IVcited by 35

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Abstract (arXiv)

In the past years, learned image compression (LIC) has achieved remarkable performance. The recent LIC methods outperform VVC in both PSNR and MS-SSIM. However, the low bit-rate reconstructions of LIC suffer from artifacts such as blurring, color drifting and texture missing. Moreover, those varied artifacts make image quality metrics correlate badly with human perceptual quality. In this paper, we propose PO-ELIC, i.e., Perception-Oriented Efficient Learned Image Coding. To be specific, we adapt ELIC, one of the state-of-the-art LIC models, with adversarial training techniques. We apply a mixture of losses including hinge-form adversarial loss, Charbonnier loss, and style loss, to finetune the model towards better perceptual quality. Experimental results demonstrate that our method achieves comparable perceptual quality with HiFiC with much lower bitrate.

Key facts. Cited by 35 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 May 2022.

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Citing papers per year: 2022: 2; 2023: 5; 2024: 10; 2025: 13; 2026: 5.

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  1. 2022Lossy Image Compression with Conditional Diffusion Modelscited by 165
  2. 2023Towards image compression with perfect realism at ultra-low bitratescited by 99
  3. 2024GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splattingcited by 97
  4. 2022Multi-Realism Image Compression with a Conditional Generatorcited by 79
  5. 2023High-Fidelity Image Compression with Score-based Generative Modelscited by 53
  6. 2025StableCodec: Taming One-Step Diffusion for Extreme Image Compressioncited by 29
  7. 2024Idempotence and Perceptual Image Compressioncited by 27
  8. 2025Generative Latent Coding for Ultra-Low Bitrate Image and Video Compressioncited by 22
  9. 2025Generative Latent Coding for Ultra-Low Bitrate Image Compressioncited by 21
  10. 2023EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by Semantic Segmentationcited by 13
  11. 2024Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End Decodercited by 11
  12. 2025CoD: A Diffusion Foundation Model for Image Compressioncited by 9
23 more
  1. 2023ECSIC: Epipolar Cross Attention for Stereo Image Compressioncited by 8
  2. 2024LMM-driven Semantic Image-Text Coding for Ultra Low-bitrate Learned Image Compressioncited by 4
  3. 2025Synonymous Variational Inference for Perceptual Image Compressioncited by 4
  4. 2025Ultra-Low Bitrate Perceptual Image Compression with Shallow Encodercited by 4
  5. 2024Laplacian-guided Entropy Model in Neural Codec with Blur-dissipated Synthesiscited by 3
  6. 2025Steering One-Step Diffusion Model with Fidelity-Rich Decoder for Fast Image Compressioncited by 3
  7. 2024Machine Perceptual Quality: Evaluating the Impact of Severe Lossy Compression on Audio and Image Modelscited by 2
  8. 2024Conditional Hallucinations for Image Compressioncited by 2
  9. 2025Optimal Neural Compressors for the Rate-Distortion-Perception Tradeoffcited by 2
  10. 2026ProGIC: Progressive and Lightweight Generative Image Compression with Residual Vector Quantizationcited by 2
  11. 2026What Matters in Practical Learned Image Compressioncited by 2
  12. 2024Semantic Ensemble Loss and Latent Refinement for High-Fidelity Neural Image Compressioncited by 1
  13. 2024Compressible and Searchable: AI-native Multi-Modal Retrieval System with Learned Image Compressioncited by 1
  14. 2024Rethinking Learned Image Compression: Context is All You Needcited by 1
  15. 2025Hierarchical Semantic Compression for Consistent Image Semantic Restorationcited by 1
  16. 2025Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion modelcited by 1
  17. 2025VLIC: Vision-Language Models As Perceptual Judges for Human-Aligned Image Compressioncited by 1
  18. 2023HFLIC: Human Friendly Perceptual Learned Image Compression with Reinforced Transformcited by 0
  19. 2025Fast Training-free Perceptual Image Compressioncited by 0
  20. 2025Keep It Real: Challenges in Attacking Compression-Based Adversarial Purificationcited by 0
  21. 2026GIC-DLC: Differentiable Logic Circuits for Hardware-Friendly Grayscale Image Compressioncited by 0
  22. 2026Efficient Learned Image Compression without Entropy Codingcited by 0
  23. 2026You've Seen Enough: Quality-Constrained Image Coding for Machinescited by 0