{"total":41,"rows":[{"id":"2210.09276","title":"Imagic: Text-Based Real Image Editing with Diffusion Models","created":"2022-10-17","cited_by_count":1178,"area":"diffusion"},{"id":"2211.01095","title":"DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models","created":"2022-11-02","cited_by_count":938,"area":"diffusion"},{"id":"2209.02646","title":"A Survey on Generative Diffusion Model","created":"2022-09-06","cited_by_count":240,"area":"diffusion"},{"id":"2209.06950","title":"Lossy Image Compression with Conditional Diffusion Models","created":"2022-09-14","cited_by_count":170,"area":"diffusion"},{"id":"2304.12824","title":"Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning","created":"2023-04-25","cited_by_count":149,"area":"diffusion"},{"id":"2303.08084","title":"Editing Implicit Assumptions in Text-to-Image Diffusion Models","created":"2023-03-14","cited_by_count":130,"area":"diffusion"},{"id":"2209.05557","title":"Blurring Diffusion Models","created":"2022-09-12","cited_by_count":91,"area":"diffusion"},{"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":"2305.18231","title":"High-Fidelity Image Compression with Score-based Generative Models","created":"2023-05-26","cited_by_count":54,"area":"diffusion"},{"id":"2305.13128","title":"GSURE-Based Diffusion Model Training with Corrupted Data","created":"2023-05-22","cited_by_count":40,"area":"diffusion"},{"id":"2301.05489","title":"A Residual Diffusion Model for High Perceptual Quality Codec Augmentation","created":"2023-01-13","cited_by_count":35,"area":"diffusion"},{"id":"2208.08664","title":"Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance","created":"2022-08-18","cited_by_count":33,"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":"2211.07793","title":"Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models","created":"2022-11-14","cited_by_count":31,"area":"diffusion"},{"id":"2502.01189","title":"Compressed Image Generation with Denoising Diffusion Codebook Models","created":"2025-02-03","cited_by_count":28,"area":"diffusion"},{"id":"2501.09815","title":"Lossy Compression with Pretrained Diffusion Models","created":"2025-01-16","cited_by_count":25,"area":"diffusion"},{"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":"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":"2412.10935","title":"Progressive Compression with Universally Quantized Diffusion Models","created":"2024-12-14","cited_by_count":10,"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":"2407.09896","title":"PSC: Posterior Sampling-Based Compression","created":"2024-07-13","cited_by_count":8,"area":"diffusion"},{"id":"2511.06424","title":"Turbo-DDCM: Fast and Flexible Zero-Shot Diffusion-Based Image Compression","created":"2025-11-09","cited_by_count":8,"area":"diffusion"},{"id":"2604.12525","title":"CoD-Lite: Real-Time Diffusion-Based Generative Image Compression","created":"2026-04-14","cited_by_count":7,"area":"diffusion"},{"id":"2603.26571","title":"GVCC: Zero-Shot Video Compression via Codebook-Driven Stochastic Rectified Flow","created":"2026-03-27","cited_by_count":5,"area":"diffusion"},{"id":"2510.20903","title":"Information Theoretic Learning for Diffusion Models with Warm Start","created":"2025-10-23","cited_by_count":4,"area":"diffusion"},{"id":"2403.16258","title":"Laplacian-guided Entropy Model in Neural Codec with Blur-dissipated Synthesis","created":"2024-03-24","cited_by_count":3,"area":"diffusion"},{"id":"2503.03753","title":"Generative Diffusion Model-based Compression of MIMO CSI","created":"2025-02-07","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":"2606.22371","title":"ZeroGVC: Zero-Shot Generative Video Compression with Autoregressive Diffusion Priors","created":"2026-06-21","cited_by_count":3,"area":"diffusion"},{"id":"2408.10543","title":"Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds","created":"2024-08-20","cited_by_count":2,"area":"diffusion"},{"id":"2505.13152","title":"Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model","created":"2025-05-19","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":"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":"2605.13910","title":"Covariance-aware sampling for Diffusion Models","created":"2026-05-13","cited_by_count":1,"area":"diffusion"},{"id":"2505.05870","title":"FaSDiff: Balancing Perception and Semantics in Face Compression via Stable Diffusion Priors","created":"2025-05-09","cited_by_count":0,"area":"diffusion"},{"id":"2603.04005","title":"Training-Free Rate-Distortion-Perception Traversal With Diffusion","created":"2026-03-04","cited_by_count":0,"area":"diffusion"},{"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":"2604.01122","title":"Region-Adaptive Generative Compression with Spatially Varying Diffusion Models","created":"2026-04-01","cited_by_count":0,"area":"diffusion"},{"id":"2604.05743","title":"On the Robustness of Diffusion-Based Image Compression to Bit-Flip Errors","created":"2026-04-07","cited_by_count":0,"area":"diffusion"},{"id":"2606.10450","title":"Few-step Generative Models as Lossy Compression","created":"2026-06-09","cited_by_count":0,"area":"diffusion"},{"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}