{"total":67,"rows":[{"id":"2310.10325","title":"Towards image compression with perfect realism at ultra-low bitrates","created":"2023-10-16","cited_by_count":103,"area":null},{"id":"2404.18820","title":"Towards Extreme Image Compression with Latent Feature Guidance and Diffusion Prior","created":"2024-04-29","cited_by_count":60,"area":"diffusion"},{"id":"2404.08580","title":"Lossy Image Compression with Foundation Diffusion Models","created":"2024-04-12","cited_by_count":36,"area":"diffusion"},{"id":"2506.21977","title":"StableCodec: Taming One-Step Diffusion for Extreme Image Compression","created":"2025-06-27","cited_by_count":33,"area":"diffusion"},{"id":"2402.16749","title":"MISC: Ultra-low Bitrate Image Semantic Compression Driven by Large Multimodal Model","created":"2024-02-26","cited_by_count":30,"area":null},{"id":"2505.16687","title":"One-Step Diffusion-Based Image Compression with Semantic Distillation","created":"2025-05-22","cited_by_count":26,"area":"diffusion"},{"id":"2501.09815","title":"Lossy Compression with Pretrained Diffusion Models","created":"2025-01-16","cited_by_count":25,"area":"diffusion"},{"id":"2505.16177","title":"Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression","created":"2025-05-22","cited_by_count":25,"area":null},{"id":"2403.02944","title":"Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity","created":"2024-03-05","cited_by_count":23,"area":null},{"id":"2410.02640","title":"RDEIC: Accelerating Diffusion-Based Extreme Image Compression with Relay Residual Diffusion","created":"2024-10-03","cited_by_count":23,"area":"diffusion"},{"id":"2512.20194","title":"Generative Latent Coding for Ultra-Low Bitrate Image Compression","created":"2025-12-23","cited_by_count":23,"area":null},{"id":"2503.01428","title":"DLF: Extreme Image Compression with Dual-generative Latent Fusion","created":"2025-03-03","cited_by_count":21,"area":null},{"id":"2505.08281","title":"Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-aware Diffusion","created":"2025-05-13","cited_by_count":20,"area":"diffusion"},{"id":"2409.20255","title":"PerCo (SD): Open Perceptual Compression","created":"2024-09-30","cited_by_count":18,"area":"diffusion"},{"id":"2512.05016","title":"Generative Neural Video Compression via Video Diffusion Prior","created":"2025-12-04","cited_by_count":18,"area":"diffusion"},{"id":"2501.01138","title":"Semantics-Guided Diffusion for Deep Joint Source-Channel Coding in Wireless Image Transmission","created":"2025-01-02","cited_by_count":16,"area":"diffusion"},{"id":"2404.17736","title":"Diffusion-Aided Joint Source Channel Coding For High Realism Wireless Image Transmission","created":"2024-04-27","cited_by_count":11,"area":"diffusion"},{"id":"2505.05853","title":"PICD: Versatile Perceptual Image Compression with Diffusion Rendering","created":"2025-05-09","cited_by_count":11,"area":"diffusion"},{"id":"2511.18706","title":"CoD: A Diffusion Foundation Model for Image Compression","created":"2025-11-24","cited_by_count":10,"area":"diffusion"},{"id":"2502.13838","title":"Generative Video Semantic Communication via Multimodal Semantic Fusion with Large Model","created":"2025-02-19","cited_by_count":9,"area":null},{"id":"2504.02579","title":"Bridging the Gap between Gaussian Diffusion Models and Universal Quantization for Image Compression","created":"2025-04-03","cited_by_count":8,"area":"diffusion"},{"id":"2512.12229","title":"Ultra-Low Bitrate Perceptual Image Compression with Shallow Encoder","created":"2025-12-13","cited_by_count":7,"area":null},{"id":"2604.12525","title":"CoD-Lite: Real-Time Diffusion-Based Generative Image Compression","created":"2026-04-14","cited_by_count":7,"area":"diffusion"},{"id":"2406.03865","title":"Semantic Similarity Score for Measuring Visual Similarity at Semantic Level","created":"2024-06-06","cited_by_count":5,"area":null},{"id":"2503.00399","title":"Extremely low-bitrate Image Compression Semantically Disentangled by LMMs from a Human Perception Perspective","created":"2025-03-01","cited_by_count":5,"area":null},{"id":"2602.05213","title":"Dual-Representation Image Compression at Ultra-Low Bitrates via Explicit Semantics and Implicit Textures","created":"2026-02-05","cited_by_count":5,"area":null},{"id":"2604.10546","title":"Differentiable Vector Quantization for Rate-Distortion Optimization of Generative Image Compression","created":"2026-04-12","cited_by_count":5,"area":null},{"id":"2410.20126","title":"Semantic Feature Decomposition based Semantic Communication System of Images with Large-scale Visual Generation Models","created":"2024-10-26","cited_by_count":4,"area":null},{"id":"2411.13033","title":"LMM-driven Semantic Image-Text Coding for Ultra Low-bitrate Learned Image Compression","created":"2024-11-20","cited_by_count":4,"area":null},{"id":"2502.13988","title":"A Lightweight Model for Perceptual Image Compression via Implicit Priors","created":"2025-02-19","cited_by_count":4,"area":null},{"id":"2508.04979","title":"Steering One-Step Diffusion Model with Fidelity-Rich Decoder for Fast Image Compression","created":"2025-08-07","cited_by_count":4,"area":"diffusion"},{"id":"2602.05201","title":"Diffusion-aided Extreme Video Compression with Lightweight Semantics Guidance","created":"2026-02-05","cited_by_count":4,"area":"diffusion"},{"id":"2409.01935","title":"Map-Assisted Remote-Sensing Image Compression at Extremely Low Bitrates","created":"2024-09-03","cited_by_count":3,"area":"diffusion"},{"id":"2603.15129","title":"Next-Frame Decoding for Ultra-Low-Bitrate Image Compression with Video Diffusion Priors","created":"2026-03-16","cited_by_count":3,"area":"diffusion"},{"id":"2402.13536","title":"Exploring the Limits of Semantic Image Compression at Micro-bits per Pixel","created":"2024-02-21","cited_by_count":2,"area":null},{"id":"2503.17907","title":"Guided Diffusion for the Extension of Machine Vision to Human Visual Perception","created":"2025-03-23","cited_by_count":2,"area":"diffusion"},{"id":"2504.21814","title":"Why Compress What You Can Generate? When GPT-4o Generation Ushers in Image Compression Fields","created":"2025-04-30","cited_by_count":2,"area":null},{"id":"2509.13768","title":"Generative Image Coding with Diffusion Prior","created":"2025-09-17","cited_by_count":2,"area":"diffusion"},{"id":"2510.22943","title":"Switchable Token-Specific Codebook Quantization For Face Image Compression","created":"2025-10-27","cited_by_count":2,"area":null},{"id":"2601.20641","title":"Investigating the Development of Task-Oriented Communication in Vision-Language Models","created":"2026-01-28","cited_by_count":2,"area":"mllm"},{"id":"2407.12295","title":"Exploiting Inter-Image Similarity Prior for Low-Bitrate Remote Sensing Image Compression","created":"2024-07-17","cited_by_count":1,"area":null},{"id":"2502.16799","title":"Hierarchical Semantic Compression for Consistent Image Semantic Restoration","created":"2025-02-24","cited_by_count":1,"area":null},{"id":"2505.20984","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","created":"2025-05-27","cited_by_count":1,"area":"diffusion"},{"id":"2505.24015","title":"Semantics-Guided Generative Image Compression","created":"2025-05-29","cited_by_count":1,"area":null},{"id":"2511.08915","title":"Machines Serve Human: A Novel Variable Human-machine Collaborative Compression Framework","created":"2025-11-12","cited_by_count":1,"area":null},{"id":"2512.15701","title":"VLIC: Vision-Language Models As Perceptual Judges for Human-Aligned Image Compression","created":"2025-12-17","cited_by_count":1,"area":"mllm"},{"id":"2601.10373","title":"Towards Efficient Low-rate Image Compression with Frequency-aware Diffusion Prior Refinement","created":"2026-01-15","cited_by_count":1,"area":"diffusion"},{"id":"2601.18932","title":"Advances in Diffusion-Based Generative Compression","created":"2026-01-26","cited_by_count":1,"area":"diffusion"},{"id":"2603.04115","title":"TextBoost: Boosting Scene Text Fidelity in Ultra-low Bitrate Image Compression","created":"2026-03-04","cited_by_count":1,"area":null},{"id":"2604.06568","title":"A Noise Constrained Diffusion (NC-Diffusion) Framework for High Fidelity Image Compression","created":"2026-04-08","cited_by_count":1,"area":"diffusion"},{"id":"2606.01608","title":"Exploiting Semantic and Pixel Representations for Ultra-Low Bitrate Image Compression","created":"2026-06-01","cited_by_count":1,"area":"diffusion"},{"id":"2404.06865","title":"Fine color guidance in diffusion models and its application to image compression at extremely low bitrates","created":"2024-04-10","cited_by_count":0,"area":"diffusion"},{"id":"2412.05035","title":"SMIC: Semantic Multi-Item Compression based on CLIP dictionary","created":"2024-12-06","cited_by_count":0,"area":null},{"id":"2412.18158","title":"Semantics Disentanglement and Composition for Universal Image Coding with Efficiently LLM Reasoning and Generative Diffusion","created":"2024-12-24","cited_by_count":0,"area":"lr"},{"id":"2503.09368","title":"PerCoV2: Ultra-Low Bit-Rate Perceptual Image Compression via Query-Based 1D Multimodal Image Tokens","created":"2025-03-12","cited_by_count":0,"area":null},{"id":"2505.16679","title":"Semantic Compression of 3D Objects for Open and Collaborative Virtual Worlds","created":"2025-05-22","cited_by_count":0,"area":null},{"id":"2506.00526","title":"Your Demands Deserve More Bits: Referring Semantic Image Compression at Ultra-low Bitrate","created":"2025-05-31","cited_by_count":0,"area":null},{"id":"2510.27324","title":"Generative Semantic Coding for Ultra-Low Bitrate Visual Communication and Analysis","created":"2025-10-31","cited_by_count":0,"area":null},{"id":"2512.06344","title":"SDGIC: A Semantic Disambiguation-Guided Generative Image Compression Method for Ultra-Low Bitrates","created":"2025-12-06","cited_by_count":0,"area":null},{"id":"2603.17408","title":"Joint Degradation-Aware Arbitrary-Scale Super-Resolution for Variable-Rate Extreme Image Compression","created":"2026-03-18","cited_by_count":0,"area":"diffusion"},{"id":"2605.02849","title":"Active Sampling for Ultra-Low-Bit-Rate Video Compression via Conditional Controlled Diffusion","created":"2026-05-04","cited_by_count":0,"area":"diffusion"},{"id":"2606.21030","title":"FlowCodec: One-Step Flow Prior for Generative Image Compression","created":"2026-06-19","cited_by_count":0,"area":"diffusion"},{"id":"2607.19437","title":"Group-of-Latents: Perceptual Video Compression at Extreme Bitrates via Masked Latent Generative Modeling","created":"2026-07-21","cited_by_count":0,"area":null},{"id":"2608.28687","title":"FLM: Frequency-Aware Language Models for Generative Image Compression","created":"2026-08-26","cited_by_count":0,"area":null},{"id":"2609.07474","title":"Where Should Language Sit in a Multimodal Model? Lessons from What Language Does to Human Perception and Cognition","created":"2026-09-07","cited_by_count":0,"area":null},{"id":"2609.39315","title":"Rethinking Generative Image Compression at Extremely Low Bitrates","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.18607","title":"Recasting DiT for Extreme Image Compression with Hierarchical Visual Priors","created":"2026-10-13","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}