Image Inpainting Papers

• Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting
• Global and Local Attention-Based Free-Form Image Inpainting
• Image2StyleGAN++: How to Edit the Embedded Images?
• Texture Memory-Augmented Deep Patch-Based Image Inpainting
• Plug and Play Generative Networks: Conditional Iterative Generation of Images in Latent Space
• Image Inpainting for Irregular Holes Using Partial Convolutions
• LaFIn: Generative Landmark Guided Face Inpainting
• Sparse + Low Rank Decomposition of Annihilating Filter-based Hankel Matrix for Impulse Noise Removal
• Deep Generative Model for Image Inpainting with Local Binary Pattern Learning and Spatial Attention
• Free-Form Image Inpainting with Gated Convolution
• Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy
• Lightweight Modules for Efficient Deep Learning based Image Restoration
• AIM 2020 Challenge on Image Extreme Inpainting
• RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior
• DeepGIN: Deep Generative Inpainting Network for Extreme Image Inpainting
• Improving Consistency and Correctness of Sequence Inpainting using Semantically Guided Generative Adversarial Network
• Coherent Semantic Attention for Image Inpainting
• Deep Image Prior
• Pluralistic Image Completion
• Deep Fusion Network for Image Completion
• Image Inpainting with Contextual Reconstruction Loss
• On-Demand Learning for Deep Image Restoration
• Pixel-wise Dense Detector for Image Inpainting
• Text-Guided Neural Image Inpainting
• Void Filling of Digital Elevation Models with Deep Generative Models
• A nonlocal feature-driven exemplar-based approach for image inpainting
• EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning
• Adaptive Image Sampling using Deep Learning and its Application on X-Ray Fluorescence Image Reconstruction
• Generative Modeling by Estimating Gradients of the Data Distribution
• A Benchmark for Inpainting of Clothing Images with Irregular Holes
• Recurrent Feature Reasoning for Image Inpainting
• ACFlow: Flow Models for Arbitrary Conditional Likelihoods
• Implicit Neural Representations with Periodic Activation Functions
• High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis
• Edge-Informed Single Image Super-Resolution
• deepCR: Cosmic Ray Rejection with Deep Learning
• Image Inpainting with Learnable Feature Imputation
• CosmoVAE: Variational Autoencoder for CMB Image Inpainting
• Image Fine-grained Inpainting
• Editing Text in the Wild
• Variational Autoencoder with Arbitrary Conditioning
• StructureFlow: Image Inpainting via Structure-aware Appearance Flow
• Shift-Net: Image Inpainting via Deep Feature Rearrangement
• Semantic Image Manipulation Using Scene Graphs
• GAN-based Priors for Quantifying Uncertainty
• Image Inpainting with Learnable Bidirectional Attention Maps
• CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training
• PiiGAN: Generative Adversarial Networks for Pluralistic Image Inpainting
• Ada-LISTA: Learned Solvers Adaptive to Varying Models
• Generative Image Inpainting with Contextual Attention
• Are Deep Neural Architectures Losing Information? Invertibility Is Indispensable
• Learning Semantic-aware Normalization for Generative Adversarial Networks
• Indoor Depth Completion with Boundary Consistency and Self-Attention
• Faster Matrix Completion Using Randomized SVD
• Painting Outside the Box: Image Outpainting with GANs
• Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations
• Deep Video Inpainting
• Perceptual Adversarial Networks for Image-to-Image Transformation
• From Patches to Images: A Nonparametric Generative Model
• Depth Image Inpainting: Improving Low Rank Matrix Completion with Low Gradient Regularization
• Unsupervised Adversarial Image Inpainting
• Learning Energy-Based Models in High-Dimensional Spaces with Multi-scale Denoising Score Matching
• Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination
• Region-wise Generative Adversarial Image Inpainting for Large Missing Areas
• Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting
• Region Normalization for Image Inpainting
• One Network to Solve Them All — Solving Linear Inverse Problems using Deep Projection Models
• Image Inpainting : Overview and Recent Advances
• Convolutional Dictionary Learning via Local Processing
• Very Long Natural Scenery Image Prediction by Outpainting
• Empty Cities: Image Inpainting for a Dynamic-Object-Invariant Space
• Image Inpainting via Generative Multi-column Convolutional Neural Networks
• IDA: Improved Data Augmentation Applied to Salient Object Detection
• Context Encoding Chest X-rays
• Copy-and-Paste Networks for Deep Video Inpainting
• SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and Color
• R-MNet: A Perceptual Adversarial Network for Image Inpainting
• Image Processing Using Multi-Code GAN Prior
• Image Restoration by Iterative Denoising and Backward Projections
• Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation
• Group-based Sparse Representation for Image Restoration
• ANDA: A Novel Data Augmentation Technique Applied to Salient Object Detection
• RT-GENE: Real-Time Eye Gaze Estimation in Natural Environments
• Learnable Gated Temporal Shift Module for Deep Video Inpainting
• Semantic Image Inpainting with Deep Generative Models
• Invertibility of Convolutional Generative Networks from Partial Measurements
• Constrained Deep Learning using Conditional Gradient and Applications in Computer Vision
• A Local Block Coordinate Descent Algorithm for the Convolutional Sparse Coding Model
• Wide-Context Semantic Image Extrapolation
• Joint learning of variational representations and solvers for inverse problems with partially-observed data
• Accelerated MRI with Un-trained Neural Networks
• PIINET: A 360-degree Panoramic Image Inpainting Network Using a Cube Map
• A Local Block Coordinate Descent Algorithm for the CSC Model
• Progressive Reconstruction of Visual Structure for Image Inpainting
• SiENet: Siamese Expansion Network for Image Extrapolation
• Deep Structured Energy-Based Image Inpainting
• Deep Generalized Convolutional Sum-Product Networks
• Single-Channel Signal Separation and Deconvolution with Generative Adversarial Networks
• Pixel-wise Conditioning of Generative Adversarial Networks
• Region-of-interest guided Supervoxel Inpainting for Self-supervision