Generative Image Compression

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2 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

Jul 13Week of Sep 28

Latest papers 24

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  1. Rethinking Generative Image Compression at Extremely Low Bitrates

    Sep 30, 2026Tianyu Zhang, Zhaoyang Jia, Houqiang Li +1Generative Image CompressionUltra-Low Bitrates

  2. DC-SAE: Deep Compression Semantic Autoencoder for Faster Diffusion Convergence

    Sep 30, 2026Xu Huang, Ye Huang, Zijun Liao +6Generative Image CompressionToken Compression

  3. HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression

    Aug 12, 2026Yuefeng ZhangLearned Image CompressionGenerative Image Compression

  4. MRIComp4Flow: Compression of 3D Brain MRI for Training Multi-Modal Generative Models

    Aug 10, 2026Lisa K. Fischer, Mykhailo Riabets, Daniel Rueckert +3Magnetic Resonance Imaging DatasetMedical Image Generation

  5. EvtGraph: Event-Adaptive Compression for Sparse Temporal Graph Learning in Multimodal Time Series

    Aug 5, 2026Ziqian Wang, Tingxiong Xiao, Yuxiao Cheng +1Temporal Graph Neural NetworksGenerative Image Compression

  6. MedARC: Training-Free Adaptive Redundancy Compression of Visual Tokens for 3D Medical Vision-Language Models

    Jul 29, 2026Yitao Zhu, Mengjun Liu, Yingji Fu +2Medical Vision-Language ModelsLong Visual-Token Sequences

  7. Importance-Aware OBS Pruning for Diffusion Models

    Jul 22, 2026Ba-Thinh Lam, Srijan Das, Hieu LeDiffusion ModelsGenerative Image Compression

  8. HARD-KV: Head-Adaptive Regularization for Decoding-time KV Compression

    Jun 27, 2026Yuxuan Yang, Feiyang Ren, Bowen Zeng +4Key-Value Cache CompressionLLM Inference Optimization

  9. Adaptive Joint Compression and Synchronisation in Federated Split Learning for IoT Rainfall Prediction

    Jun 23, 2026Wenjie Ding, Yi Sin Lin, Jiale Liu +8Federated LearningInternet Of Thing

  10. Few-step Generative Models as Lossy Compression

    Jun 9, 2026Fuma Kimishima, Jinjia ZhouGenerative Image CompressionData Compression Methods

  11. HACK++: Towards More Effective Head-Aware Key-Value Compression for Efficient Visual Autoregressive Modeling

    Jun 6, 2026Ziran Qin, Yuchen Jiang, Mingbao Lin +4Visual Autoregressive ModelsKey-Value Cache Compression

  12. Residual Modeling for High-Fidelity Learned Compression of Scientific Data

    Jun 3, 2026Liangji Zhu, Sanjay Ranka, Anand RangarajanGenerative Image CompressionData Compression Methods

  13. SAFE-SVD: Sensitivity-Aware Fidelity-Enforcing SVD for Physics Foundation Models

    May 18, 2026Chengjie Hong, Feixiang He, Yiheng Zeng +2Generative Image CompressionWireless Foundation Models

  14. HeatKV: Head-tuned KV-cache Compression for Visual Autoregressive Modeling

    May 14, 2026Jonathan Cederlund, Axel Berg, William Isaksson +3Key-Value Cache CompressionVisual Autoregressive Models

  15. A Self-Evolving Framework for Efficient Terminal Agents via Observational Context Compression

    Apr 21, 2026Jincheng Ren, Siwei Wu, Yizhi Li +8Long-Horizon AgentsGenerative Image Compression

  16. Exploiting Correlations in Federated Learning: Opportunities and Practical Limitations

    Apr 16, 2026Adrian Edin, Michel Kieffer, Mikael Johansson +1Federated LearningGenerative Image Compression

  17. Next-Frame Decoding for Ultra-Low-Bitrate Image Compression with Video Diffusion Priors

    Mar 16, 2026Yunuo Chen, Chuqin Zhou, Jiangchuan Li +5Learned Image CompressionGenerative Image Compression

  18. SDGIC: A Semantic Disambiguation-Guided Generative Image Compression Method for Ultra-Low Bitrates

    Dec 6, 2025Kaile Wang, Lijun He, Haisheng Fu +2Learned Image CompressionGenerative Image Compression