{"total":100,"rows":[{"id":"2305.07015","title":"Exploiting Diffusion Prior for Real-World Image Super-Resolution","created":"2023-05-11","cited_by_count":489,"area":"diffusion"},{"id":"2104.14951","title":"SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models","created":"2021-04-30","cited_by_count":415,"area":"diffusion"},{"id":"2311.16518","title":"SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution","created":"2023-11-27","cited_by_count":315,"area":"diffusion"},{"id":"2303.09472","title":"DiffIR: Efficient Diffusion Model for Image Restoration","created":"2023-03-16","cited_by_count":255,"area":"diffusion"},{"id":"2406.08177","title":"One-Step Effective Diffusion Network for Real-World Image Super-Resolution","created":"2024-06-12","cited_by_count":246,"area":"diffusion"},{"id":"2308.09388","title":"Diffusion Models for Image Restoration and Enhancement: A Comprehensive Survey","created":"2023-08-18","cited_by_count":109,"area":"diffusion"},{"id":"2403.12963","title":"FouriScale: A Frequency Perspective on Training-Free High-Resolution Image Synthesis","created":"2024-03-19","cited_by_count":59,"area":"diffusion"},{"id":"2310.19288","title":"EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution","created":"2023-10-30","cited_by_count":56,"area":"diffusion"},{"id":"2211.14575","title":"Efficient Video Prediction via Sparsely Conditioned Flow Matching","created":"2022-11-26","cited_by_count":55,"area":"diffusion"},{"id":"2503.23580","title":"DiT4SR: Taming Diffusion Transformer for Real-World Image Super-Resolution","created":"2025-03-30","cited_by_count":53,"area":"diffusion"},{"id":"2305.13819","title":"WaveDM: Wavelet-Based Diffusion Models for Image Restoration","created":"2023-05-23","cited_by_count":47,"area":"diffusion"},{"id":"2302.07864","title":"Denoising Diffusion Probabilistic Models for Robust Image Super-Resolution in the Wild","created":"2023-02-15","cited_by_count":46,"area":"diffusion"},{"id":"2403.05049","title":"XPSR: Cross-modal Priors for Diffusion-based Image Super-Resolution","created":"2024-03-08","cited_by_count":41,"area":"diffusion"},{"id":"2306.03110","title":"SwinRDM: Integrate SwinRNN with Diffusion Model towards High-Resolution and High-Quality Weather Forecasting","created":"2023-06-05","cited_by_count":32,"area":"diffusion"},{"id":"2503.18512","title":"Uncertainty-guided Perturbation for Image Super-Resolution Diffusion Model","created":"2025-03-24","cited_by_count":29,"area":"diffusion"},{"id":"2404.08926","title":"Diffusion Models Meet Remote Sensing: Principles, Methods, and Perspectives","created":"2024-04-13","cited_by_count":27,"area":"diffusion"},{"id":"2403.10255","title":"Arbitrary-Scale Image Generation and Upsampling using Latent Diffusion Model and Implicit Neural Decoder","created":"2024-03-15","cited_by_count":25,"area":"diffusion"},{"id":"2503.18446","title":"Latent Space Super-Resolution for Higher-Resolution Image Generation with Diffusion Models","created":"2025-03-24","cited_by_count":25,"area":"diffusion"},{"id":"2308.13767","title":"DiffI2I: Efficient Diffusion Model for Image-to-Image Translation","created":"2023-08-26","cited_by_count":24,"area":"diffusion"},{"id":"2503.11073","title":"Perceive, Understand and Restore: Real-World Image Super-Resolution with Autoregressive Multimodal Generative Models","created":"2025-03-14","cited_by_count":24,"area":"diffusion"},{"id":"2503.01187","title":"DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-Resolution","created":"2025-03-03","cited_by_count":22,"area":"diffusion"},{"id":"2302.12831","title":"CDPMSR: Conditional Diffusion Probabilistic Models for Single Image Super-Resolution","created":"2023-02-14","cited_by_count":21,"area":"diffusion"},{"id":"2507.20291","title":"Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training","created":"2025-07-27","cited_by_count":21,"area":"diffusion"},{"id":"2312.06071","title":"Precipitation Downscaling with Spatiotemporal Video Diffusion","created":"2023-12-11","cited_by_count":19,"area":"diffusion"},{"id":"2410.04224","title":"Unleashing the Power of One-Step Diffusion based Image Super-Resolution via a Large-Scale Diffusion Discriminator","created":"2024-10-05","cited_by_count":19,"area":"diffusion"},{"id":"2307.00781","title":"ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution","created":"2023-07-03","cited_by_count":18,"area":"diffusion"},{"id":"2305.04517","title":"DiffBFR: Bootstrapping Diffusion Model Towards Blind Face Restoration","created":"2023-05-08","cited_by_count":17,"area":"diffusion"},{"id":"2311.11600","title":"Deep Equilibrium Diffusion Restoration with Parallel Sampling","created":"2023-11-20","cited_by_count":17,"area":"diffusion"},{"id":"2401.15469","title":"Wind speed super-resolution and validation: from ERA5 to CERRA via diffusion models","created":"2024-01-27","cited_by_count":15,"area":"diffusion"},{"id":"2404.15620","title":"A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution","created":"2024-04-24","cited_by_count":15,"area":"diffusion"},{"id":"2504.17825","title":"Dual Prompting Image Restoration with Diffusion Transformers","created":"2025-04-24","cited_by_count":15,"area":"diffusion"},{"id":"2409.17778","title":"Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs","created":"2024-09-26","cited_by_count":13,"area":"diffusion"},{"id":"2312.00210","title":"DREAM: Diffusion Rectification and Estimation-Adaptive Models","created":"2023-11-30","cited_by_count":12,"area":"diffusion"},{"id":"2405.07044","title":"Semantic Guided Large Scale Factor Remote Sensing Image Super-resolution with Generative Diffusion Prior","created":"2024-05-11","cited_by_count":12,"area":"diffusion"},{"id":"2412.18565","title":"3DEnhancer: Consistent Multi-View Diffusion for 3D Enhancement","created":"2024-12-24","cited_by_count":12,"area":"diffusion"},{"id":"2402.17133","title":"SAM-DiffSR: Structure-Modulated Diffusion Model for Image Super-Resolution","created":"2024-02-27","cited_by_count":10,"area":"diffusion"},{"id":"2406.18516","title":"Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration","created":"2024-06-26","cited_by_count":9,"area":"diffusion"},{"id":"2411.17106","title":"PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution","created":"2024-11-26","cited_by_count":9,"area":"diffusion"},{"id":"2311.03226","title":"LDM3D-VR: Latent Diffusion Model for 3D VR","created":"2023-11-06","cited_by_count":8,"area":"diffusion"},{"id":"2312.05616","title":"Iterative Token Evaluation and Refinement for Real-World Super-Resolution","created":"2023-12-09","cited_by_count":8,"area":"diffusion"},{"id":"2405.07648","title":"CDFormer:When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution","created":"2024-05-13","cited_by_count":8,"area":"diffusion"},{"id":"2507.22459","title":"Exploiting Diffusion Prior for Task-driven Image Restoration","created":"2025-07-30","cited_by_count":8,"area":"diffusion"},{"id":"2509.20091","title":"Unleashing the Potential of the Semantic Latent Space in Diffusion Models for Image Dehazing","created":"2025-09-24","cited_by_count":8,"area":"diffusion"},{"id":"2305.15357","title":"Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution","created":"2023-05-24","cited_by_count":7,"area":"diffusion"},{"id":"2403.11451","title":"CasSR: Activating Image Power for Real-World Image Super-Resolution","created":"2024-03-18","cited_by_count":7,"area":"diffusion"},{"id":"2403.16643","title":"Self-Adaptive Reality-Guided Diffusion for Artifact-Free Super-Resolution","created":"2024-03-25","cited_by_count":6,"area":"diffusion"},{"id":"2403.18370","title":"Ship in Sight: Diffusion Models for Ship-Image Super Resolution","created":"2024-03-27","cited_by_count":6,"area":"diffusion"},{"id":"2311.16517","title":"LFSRDiff: Light Field Image Super-Resolution via Diffusion Models","created":"2023-11-27","cited_by_count":5,"area":"diffusion"},{"id":"2403.10211","title":"BlindDiff: Empowering Degradation Modelling in Diffusion Models for Blind Image Super-Resolution","created":"2024-03-15","cited_by_count":5,"area":"diffusion"},{"id":"2408.05713","title":"SSL: A Self-similarity Loss for Improving Generative Image Super-resolution","created":"2024-08-11","cited_by_count":5,"area":"diffusion"},{"id":"2502.00333","title":"BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-Resolution","created":"2025-02-01","cited_by_count":5,"area":"diffusion"},{"id":"2508.04090","title":"Bridging Diffusion Models and 3D Representations: A 3D Consistent Super-Resolution Framework","created":"2025-08-06","cited_by_count":5,"area":"diffusion"},{"id":"2604.03225","title":"VOSR: A Vision-Only Generative Model for Image Super-Resolution","created":"2026-04-03","cited_by_count":5,"area":"diffusion"},{"id":"2404.10688","title":"Efficient Conditional Diffusion Model with Probability Flow Sampling for Image Super-resolution","created":"2024-04-16","cited_by_count":3,"area":"diffusion"},{"id":"2410.14279","title":"ControlSR: Taming Diffusion Models for Consistent Real-World Image Super Resolution","created":"2024-10-18","cited_by_count":3,"area":"diffusion"},{"id":"2503.03355","title":"Rethinking Video Super-Resolution: Towards Diffusion-Based Methods without Motion Alignment","created":"2025-03-05","cited_by_count":3,"area":"diffusion"},{"id":"2503.13358","title":"One-Step Residual Shifting Diffusion for Image Super-Resolution via Distillation","created":"2025-03-17","cited_by_count":3,"area":"diffusion"},{"id":"2505.00687","title":"GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution","created":"2025-05-01","cited_by_count":3,"area":"diffusion"},{"id":"2506.22397","title":"HazeMatching: Dehazing Light Microscopy Images with Guided Conditional Flow Matching","created":"2025-06-27","cited_by_count":3,"area":"diffusion"},{"id":"2406.19030","title":"DiffLoss: unleashing diffusion model as constraint for training image restoration network","created":"2024-06-27","cited_by_count":2,"area":"diffusion"},{"id":"2407.03239","title":"Solving the inverse problem of microscopy deconvolution with a residual Beylkin-Coifman-Rokhlin neural network","created":"2024-07-03","cited_by_count":2,"area":"diffusion"},{"id":"2502.03502","title":"DC-VSR: Spatially and Temporally Consistent Video Super-Resolution with Video Diffusion Prior","created":"2025-02-05","cited_by_count":2,"area":"diffusion"},{"id":"2505.00334","title":"Quaternion Wavelet-Conditioned Diffusion Models for Image Super-Resolution","created":"2025-05-01","cited_by_count":2,"area":"diffusion"},{"id":"2510.18851","title":"DP$^2$O-SR: Direct Perceptual Preference Optimization for Real-World Image Super-Resolution","created":"2025-10-21","cited_by_count":2,"area":"diffusion"},{"id":"2602.10630","title":"Eliminating VAE for Fast and High-Resolution Generative Detail Restoration","created":"2026-02-11","cited_by_count":2,"area":"diffusion"},{"id":"2603.06275","title":"Spectral and Trajectory Regularization for Diffusion Transformer Super-Resolution","created":"2026-03-06","cited_by_count":2,"area":"diffusion"},{"id":"2402.07597","title":"Trustworthy SR: Resolving Ambiguity in Image Super-resolution via Diffusion Models and Human Feedback","created":"2024-02-12","cited_by_count":1,"area":"diffusion"},{"id":"2408.07516","title":"DIffSteISR: Harnessing Diffusion Prior for Superior Real-world Stereo Image Super-Resolution","created":"2024-08-14","cited_by_count":1,"area":"diffusion"},{"id":"2408.15283","title":"3D Photon Counting CT Image Super-Resolution Using Conditional Diffusion Model","created":"2024-08-22","cited_by_count":1,"area":"diffusion"},{"id":"2412.12550","title":"Consistent Diffusion: Denoising Diffusion Model with Data-Consistent Training for Image Restoration","created":"2024-12-17","cited_by_count":1,"area":"diffusion"},{"id":"2504.03490","title":"BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-Resolution","created":"2025-04-04","cited_by_count":1,"area":"diffusion"},{"id":"2506.07813","title":"Self-Cascaded Diffusion Models for Arbitrary-Scale Image Super-Resolution","created":"2025-06-09","cited_by_count":1,"area":"diffusion"},{"id":"2506.11496","title":"Taming Stable Diffusion for Computed Tomography Blind Super-Resolution","created":"2025-06-13","cited_by_count":1,"area":"diffusion"},{"id":"2508.10779","title":"Ultra-High-Definition Reference-Based Landmark Image Super-Resolution with Generative Diffusion Prior","created":"2025-08-14","cited_by_count":1,"area":"diffusion"},{"id":"2510.26601","title":"ResMatching: Noise-Resilient Computational Super-Resolution via Guided Conditional Flow Matching","created":"2025-10-30","cited_by_count":1,"area":"diffusion"},{"id":"2512.04699","title":"OmniScaleSR: Unleashing Scale-Controlled Diffusion Prior for Faithful and Realistic Arbitrary-Scale Image Super-Resolution","created":"2025-12-04","cited_by_count":1,"area":"diffusion"},{"id":"2602.07069","title":"Bird-SR: Bidirectional Reward-Guided Diffusion for Real-World Image Super-Resolution","created":"2026-02-05","cited_by_count":1,"area":"diffusion"},{"id":"2603.07430","title":"Disentangled Textual Priors for Diffusion-based Image Super-Resolution","created":"2026-03-08","cited_by_count":1,"area":"diffusion"},{"id":"2605.15682","title":"DreamSR: Towards Ultra-High-Resolution Image Super-Resolution via a Receptive-Field Enhanced Diffusion Transformer","created":"2026-05-15","cited_by_count":1,"area":"diffusion"},{"id":"2402.16212","title":"Photon-counting CT using a Conditional Diffusion Model for Super-resolution and Texture-preservation","created":"2024-02-25","cited_by_count":0,"area":"diffusion"},{"id":"2409.12078","title":"Denoising diffusion models for high-resolution microscopy image restoration","created":"2024-09-18","cited_by_count":0,"area":"diffusion"},{"id":"2409.16488","title":"Diffusion Models to Enhance the Resolution of Microscopy Images: A Tutorial","created":"2024-09-24","cited_by_count":0,"area":"diffusion"},{"id":"2410.13807","title":"Improving Consistency in Diffusion Models for Image Super-Resolution","created":"2024-10-17","cited_by_count":0,"area":"diffusion"},{"id":"2501.14264","title":"CDI: Blind Image Restoration Fidelity Evaluation based on Consistency with Degraded Image","created":"2025-01-24","cited_by_count":0,"area":"diffusion"},{"id":"2503.05584","title":"QArtSR: Quantization via Reverse-Module and Timestep-Retraining in One-Step Diffusion based Image Super-Resolution","created":"2025-03-07","cited_by_count":0,"area":"diffusion"},{"id":"2504.13026","title":"TTRD3: Texture Transfer Residual Denoising Dual Diffusion Model for Remote Sensing Image Super-Resolution","created":"2025-04-17","cited_by_count":0,"area":"diffusion"},{"id":"2508.07214","title":"Unsupervised Real-World Super-Resolution via Rectified Flow Degradation Modelling","created":"2025-08-10","cited_by_count":0,"area":"diffusion"},{"id":"2509.14777","title":"Dataset Distillation for Super-Resolution without Class Labels and Pre-trained Models","created":"2025-09-18","cited_by_count":0,"area":"diffusion"},{"id":"2510.09924","title":"HeadsUp! High-Fidelity Portrait Image Super-Resolution","created":"2025-10-10","cited_by_count":0,"area":"diffusion"},{"id":"2510.13649","title":"Local-Global Context-Aware and Structure-Preserving Image Super-Resolution","created":"2025-10-11","cited_by_count":0,"area":"diffusion"},{"id":"2510.26339","title":"GLYPH-SR: Can We Achieve Both High-Quality Image Super-Resolution and High-Fidelity Text Recovery via VLM-guided Latent Diffusion Model?","created":"2025-10-30","cited_by_count":0,"area":"diffusion"},{"id":"2603.18513","title":"CAFlow: Adaptive-Depth Single-Step Flow Matching for Efficient Histopathology Super-Resolution","created":"2026-03-19","cited_by_count":0,"area":"diffusion"},{"id":"2605.02767","title":"TOC-SR: Task-Optimal Compact diffusion for Image Super Resolution","created":"2026-05-04","cited_by_count":0,"area":"diffusion"},{"id":"2605.21381","title":"Disentangling Generation and Regression in Stochastic Interpolants for Controllable Image Restoration","created":"2026-05-20","cited_by_count":0,"area":"diffusion"},{"id":"2606.28745","title":"FreqOrtho-SR: Frequency-Guided Orthogonal Expert Learning for Real-World Image Super-Resolution","created":"2026-06-27","cited_by_count":0,"area":"diffusion"},{"id":"2607.21174","title":"Decoupling Cross-Modality Manifold Discrepancy: Leveraging Visible Diffusion Priors for Infrared Super-Resolution","created":"2026-07-23","cited_by_count":0,"area":"diffusion"},{"id":"2607.25275","title":"ScaleResfusion: Residual Rectified Flow based on Residual Vector Field","created":"2026-07-28","cited_by_count":0,"area":"diffusion"},{"id":"2608.09373","title":"Preserve More Details: Mitigating Content Drift in Real-World Image Super-Resolution","created":"2026-08-10","cited_by_count":0,"area":"diffusion"},{"id":"2608.30782","title":"PixelIR: Fidelity-Perception Decoupling via Pixel-Space Image-Residual Flow Matching for Efficient One-Step Real-World Super-Resolution","created":"2026-08-31","cited_by_count":0,"area":"diffusion"},{"id":"2610.13547","title":"MOSAIC: Multi-Scale Object-Centric Slot Adaptation with Image-Guided Prototype Conditioning for Remote Sensing Image Super-Resolution","created":"2026-10-09","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}