{"total":52,"rows":[{"id":"2112.06074","title":"Early Stopping for Deep Image Prior","created":"2021-12-11","cited_by_count":44,"area":null},{"id":"2108.12841","title":"Rethinking Deep Image Prior for Denoising","created":"2021-08-29","cited_by_count":38,"area":null},{"id":"2107.01125","title":"On Measuring and Controlling the Spectral Bias of the Deep Image Prior","created":"2021-07-02","cited_by_count":36,"area":null},{"id":"2111.01968","title":"A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications","created":"2021-11-03","cited_by_count":24,"area":null},{"id":"2301.05839","title":"NCP: Neural Correspondence Prior for Effective Unsupervised Shape Matching","created":"2023-01-14","cited_by_count":18,"area":null},{"id":"2108.00131","title":"Simple, Fast, and Flexible Framework for Matrix Completion with Infinite Width Neural Networks","created":"2021-07-31","cited_by_count":17,"area":null},{"id":"2111.11926","title":"An Educated Warm Start For Deep Image Prior-Based Micro CT Reconstruction","created":"2021-11-23","cited_by_count":16,"area":null},{"id":"2110.12271","title":"Self-Validation: Early Stopping for Single-Instance Deep Generative Priors","created":"2021-10-23","cited_by_count":15,"area":null},{"id":"2405.20725","title":"GI-NAS: Boosting Gradient Inversion Attacks Through Adaptive Neural Architecture Search","created":"2024-05-31","cited_by_count":14,"area":null},{"id":"2109.08618","title":"A review and experimental evaluation of deep learning methods for MRI reconstruction","created":"2021-09-17","cited_by_count":13,"area":null},{"id":"2110.04825","title":"Deep Bayesian inference for seismic imaging with tasks","created":"2021-10-10","cited_by_count":12,"area":null},{"id":"2304.11409","title":"The Devil is in the Upsampling: Architectural Decisions Made Simpler for Denoising with Deep Image Prior","created":"2023-04-22","cited_by_count":11,"area":null},{"id":"2402.04097","title":"Analysis of Deep Image Prior and Exploiting Self-Guidance for Image Reconstruction","created":"2024-02-06","cited_by_count":11,"area":null},{"id":"2203.00479","title":"Uncertainty Estimation for Computed Tomography with a Linearised Deep Image Prior","created":"2022-02-28","cited_by_count":10,"area":null},{"id":"2312.07425","title":"Deep Internal Learning: Deep Learning from a Single Input","created":"2023-12-12","cited_by_count":9,"area":null},{"id":"2102.02485","title":"Image Restoration by Deep Projected GSURE","created":"2021-02-04","cited_by_count":8,"area":null},{"id":"2104.09023","title":"Unsupervised Shape Completion via Deep Prior in the Neural Tangent Kernel Perspective","created":"2021-04-19","cited_by_count":8,"area":null},{"id":"2101.11751","title":"Faster Kernel Interpolation for Gaussian Processes","created":"2021-01-28","cited_by_count":5,"area":null},{"id":"2104.09895","title":"Posterior Sampling for Image Restoration using Explicit Patch Priors","created":"2021-04-20","cited_by_count":5,"area":null},{"id":"2112.09891","title":"Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI","created":"2021-12-18","cited_by_count":5,"area":null},{"id":"2202.00179","title":"Blind Image Deconvolution Using Variational Deep Image Prior","created":"2022-02-01","cited_by_count":5,"area":null},{"id":"2304.05589","title":"Discovering Structure From Corruption for Unsupervised Image Reconstruction","created":"2023-04-12","cited_by_count":5,"area":null},{"id":"2108.06771","title":"NPBDREG: Uncertainty Assessment in Diffeomorphic Brain MRI Registration using a Non-parametric Bayesian Deep-Learning Based Approach","created":"2021-08-15","cited_by_count":4,"area":null},{"id":"2302.13546","title":"Self-Supervised Pre-Training for Deep Image Prior-Based Robust PET Image Denoising","created":"2023-02-27","cited_by_count":4,"area":null},{"id":"2404.04550","title":"NPB-REC: A Non-parametric Bayesian Deep-learning Approach for Undersampled MRI Reconstruction with Uncertainty Estimation","created":"2024-04-06","cited_by_count":4,"area":null},{"id":"2106.07533","title":"Posterior Temperature Optimization in Variational Inference for Inverse Problems","created":"2021-06-11","cited_by_count":3,"area":null},{"id":"2202.00986","title":"Posterior temperature optimized Bayesian models for inverse problems in medical imaging","created":"2022-02-02","cited_by_count":3,"area":null},{"id":"2206.02070","title":"Priors in Deep Image Restoration and Enhancement: A Survey","created":"2022-06-04","cited_by_count":3,"area":null},{"id":"2312.09988","title":"Towards Architecture-Agnostic Untrained Network Priors for Image Reconstruction with Frequency Regularization","created":"2023-12-15","cited_by_count":3,"area":null},{"id":"2404.05445","title":"Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation","created":"2024-04-08","cited_by_count":3,"area":null},{"id":"2104.00100","title":"MR Slice Profile Estimation by Learning to Match Internal Patch Distributions","created":"2021-03-31","cited_by_count":2,"area":null},{"id":"2305.00635","title":"Learning Self-Prior for Mesh Inpainting Using Self-Supervised Graph Convolutional Networks","created":"2023-05-01","cited_by_count":2,"area":null},{"id":"2310.04719","title":"A Comprehensive Survey on Deep Neural Image Deblurring","created":"2023-10-07","cited_by_count":2,"area":null},{"id":"2406.05288","title":"Optimal Eye Surgeon: Finding Image Priors through Sparse Generators at Initialization","created":"2024-06-07","cited_by_count":2,"area":null},{"id":"2304.03895","title":"MCDIP-ADMM: Overcoming Overfitting in DIP-based CT reconstruction","created":"2023-04-08","cited_by_count":1,"area":null},{"id":"2306.04001","title":"One-Dimensional Deep Image Prior for Curve Fitting of S-Parameters from Electromagnetic Solvers","created":"2023-06-06","cited_by_count":1,"area":null},{"id":"2310.19477","title":"VDIP-TGV: Blind Image Deconvolution via Variational Deep Image Prior Empowered by Total Generalized Variation","created":"2023-10-30","cited_by_count":1,"area":null},{"id":"2402.12072","title":"Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview","created":"2024-02-19","cited_by_count":1,"area":null},{"id":"2402.15352","title":"On normalization-equivariance properties of supervised and unsupervised denoising methods: a survey","created":"2024-02-23","cited_by_count":1,"area":null},{"id":"2505.19873","title":"Deep Spectral Prior","created":"2025-05-26","cited_by_count":1,"area":null},{"id":"2110.15568","title":"Unsupervised PET Reconstruction from a Bayesian Perspective","created":"2021-10-29","cited_by_count":0,"area":null},{"id":"2111.10892","title":"Deep Image Prior using Stein's Unbiased Risk Estimator: SURE-DIP","created":"2021-11-21","cited_by_count":0,"area":null},{"id":"2208.03966","title":"NPB-REC: Non-parametric Assessment of Uncertainty in Deep-learning-based MRI Reconstruction from Undersampled Data","created":"2022-08-08","cited_by_count":0,"area":null},{"id":"2309.06724","title":"Deep Nonparametric Convexified Filtering for Computational Photography, Image Synthesis and Adversarial Defense","created":"2023-09-13","cited_by_count":0,"area":null},{"id":"2410.24187","title":"Chasing Better Deep Image Priors between Over- and Under-parameterization","created":"2024-10-31","cited_by_count":0,"area":null},{"id":"2503.15984","title":"DIPLI: Deep Image Prior Lucky Imaging for Blind Astronomical Image Restoration","created":"2025-03-20","cited_by_count":0,"area":null},{"id":"2505.17472","title":"SUFFICIENT: A scan-specific unsupervised deep learning framework for high-resolution 3D isotropic fetal brain MRI reconstruction","created":"2025-05-23","cited_by_count":0,"area":null},{"id":"2508.11961","title":"PEdger++: Practical Edge Detection via Assembling Cross Information","created":"2025-08-16","cited_by_count":0,"area":null},{"id":"2512.03962","title":"Tada-DIP: Input-adaptive Deep Image Prior for One-shot 3D Image Reconstruction","created":"2025-12-03","cited_by_count":0,"area":null},{"id":"2601.01228","title":"HyDRA: Hybrid Denoising Regularization for Measurement-Only DEQ Training","created":"2026-01-03","cited_by_count":0,"area":null},{"id":"2603.29732","title":"Compressive sensing inspired self-supervised single-pixel imaging","created":"2026-03-31","cited_by_count":0,"area":null},{"id":"2606.28431","title":"A Zero-Shot Deep Image Prior Framework for Denoising and Deconvolution in Fluorescence Microscopy","created":"2026-06-26","cited_by_count":0,"area":null}],"next_cursor":null}