Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Combined First and Second Order Total Variation Inpainting using Split Bregman
An iterative regularization method for total variation-based image restoration
Augmented Lagrangian method, dual methods, and split Bregman iteration for ROF, vectorial TV, and high order models
Image Inpainting by Patch Propagation Using Patch Sparsity
Fast Image Inpainting Based on Coherence Transport
Digital Image Inpainting: A Review
spatially and scale adaptive total variation based regularization and anisotropic diiusion in image processing .
Image Inpainting : Overview and Recent Advances
Image Inpainting Methods Evaluation and Improvement
Image Compression With Edge-Based Inpainting
Automated Regularization Parameter Selection in Multi-Scale Total Variation Models for Image Restoration
Image Inpainting Using Directional Median Filters
nonlinear total variation based noise removal algorithms .
A fast algorithm for edgepreserving variational multichannel image restoration
Gradient-based low rank method and its application in image inpainting
Patch-Based Image Inpainting with Generative Adversarial Networks
Primal-Dual Plug-and-Play Image Restoration
Semi-parametric Image Inpainting
Image Inpainting – An Inclusive Review of the Underlying Algorithm and Comparative Study of the Associated Techniques
Image inpainting via sparse representation
Image Inpainting for Irregular Holes Using Partial Convolutions
Summary-Based Context-Sensitive Data-Dependence Analysis in Presence of Callbacks
A Joint Human/Machine Process for Coding Events and Conflict Drivers
A stochastic control strategy for hybrid electric vehicles
A Nonlinear Primal-Dual Method for Total Variation-Based Image Restoration
OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World