What I cannot create, I do not understand.
This repository is a paper list of image extrapolation and inpainting inspired by @1900zyh's repository Awsome-Image-Inpainting and @geekyutao's repository Image Inpainting. As a conditional generation task, I learn from @xiaweihao's repository awesome-image-translation.
| Dataset | Metrics | Method | Title |
|---|---|---|---|
| CelebA-HQ (75%) | PSNR=16.05 SSIM=0.6815 FID=21.17 | SpiralNet | Spiral Generative Network for Image Extrapolation |
| Stanford cars (75%) | PSNR=14.31 SSIM=0.5775 FID=23.64 | SpiralNet | Spiral Generative Network for Image Extrapolation |
| CUB (75%) | PSNR=16.22 SSIM=0.5313 FID=56.50 | SpiralNet | Spiral Generative Network for Image Extrapolation |
| Flowers (75%) | PSNR=15.67 SSIM=0.5078 FID=52.14 | SpiralNet | Spiral Generative Network for Image Extrapolation |
| Cityscapes (50%) | PSNR=20.43 SSIM=0.7125 FID=22.34 | SpiralNet | Spiral Generative Network for Image Extrapolation |
| Paris StreetView (50%) | PSNR=17.43 SSIM=0.5970 FID=35.58 | SpiralNet | Spiral Generative Network for Image Extrapolation |
| Places365-Sky (50%) | PSNR=21.75 SSIM=0.7834 FID=51.55 | SpiralNet | Spiral Generative Network for Image Extrapolation |
| Places365-Desert Road (50%) | PSNR=20.22 SSIM=0.7026 FID=80.66 | SpiralNet | Spiral Generative Network for Image Extrapolation |
| Places365 (25%) | PSNR=10.17 FID=0.79 | Boundless | Boundless: Generative Adversarial Networks for Image Extension |
| Places365 (50%) | PSNR=8.63 FID=3.46 | Boundless | Boundless: Generative Adversarial Networks for Image Extension |
| Places365 (75%) | PSNR=8.07 FID=8.79 | Boundless | Boundless: Generative Adversarial Networks for Image Extension |
| SUN | IS=2.852 FID=13.713 | NS-Outpainting | Very Long Natural Scenery Image Prediction by Outpainting |
| DeepFashion | PSNR=12.58 SSIM=0.5686 | SRN | Wide-Context Semantic Image Extrapolation |
| Dataset | Metrics | Method | Title |
|---|---|---|---|
| CelebA (25%) | PSNR=26.32 SSIM=0.910 FID=25.51 | MEDFE | Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations |
| CelebA (10-20%) | PSNR=34.69 SSIM=0.989 l1err.=0.72% l2err. =0.04% | CSA | Coherent Semantic Attention for Image Inpainting |
| CelebA (20-30%) | PSNR=32.58 SSIM=0.982 l1err.=0.94% l2err. =0.07% | CSA | Coherent Semantic Attention for Image Inpainting |
| CelebA (30-40%) | PSNR=25.32 SSIM=0.926 l1err.=2.18% l2err. =0.37% | CSA | Coherent Semantic Attention for Image Inpainting |
| CelebA (40-50%) | PSNR=24.14 SSIM=0.883 l1err.=2.85% l2err. =0.44% | CSA | Coherent Semantic Attention for Image Inpainting |
| CelebA-HQ | PSNR=29.4912 SSIM=0.9606 L2=0.14 LPIPS=0.0682 | SC-FEGAN | SC-FEGAN: Face Editing Generative Adversarial Network with User’s Sketch and ColorRethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations |
| Paris StreetView (10%-20%) | PSNR=28.73 SSIM=0.889 | LBAM | Image Inpainting with Learnable Bidirectional Attention Maps |
| Paris StreetView (20%-30%) | PSNR=26.16 SSIM=0.795 | LBAM | Image Inpainting with Learnable Bidirectional Attention Maps |
| Paris StreetView (30%-40%) | PSNR=24.26 SSIM=0.716 | LBAM | Image Inpainting with Learnable Bidirectional Attention Maps |
| Paris StreetView (40%-50%) | PSNR=22.62 SSIM=0.621 | LBAM | Image Inpainting with Learnable Bidirectional Attention Maps |
| Place2 (10%-20%) | PSNR=31.13 SSIM=0.957 FID=6.91 | MEDFE | Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations |
| Place2 (20%-30%) | PSNR=28.87 SSIM=0.923 FID=8.06 | MEDFE | Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations |
| Place2 (30%-40%) | PSNR=25.34 SSIM=0.854 FID=19.36 | MEDFE | Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations |
| Place2 (40%-50%) | PSNR=22.81 SSIM=0.719 FID=28.79 | MEDFE | Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations |
| Place2 (0-20%) | PSNR=32.029 SSIM=0.9738 FID=2.9420 | StructureFlow | StructureFlow: Image Inpainting via Structure-aware Appearance Flow |
| Place2 (20%-40%) | PSNR=25.218 SSIM=0.9026 FID=7.0354 | StructureFlow | StructureFlow: Image Inpainting via Structure-aware Appearance Flow |
| Place2 (40%-60%) | PSNR=21.090 SSIM=0.7561 FID=22.3803 | StructureFlow | StructureFlow: Image Inpainting via Structure-aware Appearance Flow |
| Place2 (rectangular) | l1 err.=8.6% l2 err.=2.0% | SN-PatchGAN | StructureFlow: Image Inpainting via Structure-aware Appearance Flow |
| Place2 (free-form) | l1 err.=9.1% l2 err.=1.6% | SN-PatchGAN | Free-Form Image Inpainting with Gated Convolution |
| Year | Proceeding | Title | Comment |
|---|---|---|---|
| 2021 | WACV 2021 | Painting Outside as Inside: Edge Guided Image Outpainting via Bidirectional Rearrangement with Progressive Step Learning [paper] [code] | |
| 2021 | WACV 2021 | DeepCFL: Deep Contextual Features Learning from a Single Image [paper] | InGAN |
| 2020 | ECCV 2020 | Spiral Generative Network for Image Extrapolation [paper] [Springer] [code] | |
| 2020 | CVPR 2020 | Semantic Pyramid for Image Generation [paper] [code] | Re-painting |
| 2020 | WACV 2020 | Multimodal Image Outpainting with Regularized Normalized Diversification [paper] [code] | GAN-based |
| 2020 | WACV 2020 | 360 Panorama Synthesis from a Sparse Set of Images with Unknown Field of View [paper] [code] | GAN-based |
| 2020 | ITNEC 2020 | Image extrapolation based on multi-column convolutional attention network [paper] | |
| 2020 | SPL 2020 | SiENet: Siamese Expansion Network for Image Extrapolation [paper] [code] | SCI-3 |
| 2020 | ICIP 2020 | Image Completion and Extrapolation with Contextual Cycle Consistency [paper] | |
| 2019 | ICCV 2019 | Boundless: Generative Adversarial Networks for Image Extension [pdf] [code] | |
| 2019 | ICCV 2019 | Very Long Natural Scenery Image Prediction by Outpainting [pdf] [code] | LSTM |
| 2019 | ICCV 2019 | COCO-GAN: Generation by Parts via Conditional Coordinating [pdf] [official code] [unofficial code] | |
| 2019 | SIGGRAPH 2019 | Structure-Aware Image Expansion with Global Attention [paper] | |
| 2019 | CVPR 2019 | Wide-Context Semantic Image Extrapolation [paper] [code] | |
| 2019 | TIP 2019 | Deep Portrait Image Completion and Extrapolation [paper] | |
| 2018 | ECCV 2018 | Unsupervised Holistic Image Generation from Key Local Patches [paper] [code] | GAN-based |
| 2018 | arXiv:1808.08483 | Painting Outside the Box: Image Outpainting with GANs [paper] [code] [code] | GAN-based |
| Year | Proceeding | Title | Comment |
|---|---|---|---|
| 2003 | ACM TOG 2003 | Poisson Image Editing [paper] | |
| 2007 | ACM TOG 2007 | Seam Carving for Content-Aware Image Resizing [paper] | |
| 2008 | CVPRW 2008 | Creating and Exploring a Large Photorealistic Virtual Space [paper] [paper] | |
| 2009 | ACM TOG 2009 | PatchMatch: A Randomized Correspondence Algorithm for Structural Image Editing [paper] | |
| 2012 | SIGGRAPH 2012 | Quality Prediction for Image Completion [paper] | |
| 2013 | CVPR 2013 | FrameBreak: Dramatic Image Extrapolation by Guided Shift-Maps [paper] [code] | |
| 2014 | ECCV 2014 | Photo uncrop [paper] [code] | |
| 2014 | ACM TOG 2014 | BiggerPicture: data-driven image extrapolation using graph matching [paper] |
| Year | Proceeding | Title | Comment |
|---|---|---|---|
| 2012 | NIPS 2012 | Image denoising and inpainting with deep neural networks [pdf] | |
| 2014 | GCPR 2014 | Mask-specific inpainting with deep neural networks [pdf] | |
| 2014 | NIPS 2014 | Deep Convolutional Neural Network for Image Deconvolution [pdf] | |
| 2015 | NIPS 2015 | Shepard Convolutional Neural Networks [pdf] [code] | |
| 2015 | PR 2015 | Application of GRNN neural network in non-texture image inpainting and restoration [paper] | CNN-based |
| 2015 | AICCSA 2015 | Moving objects detection based on thresholding operations for video surveillance systems [paper] | GAN-based |
| 2016 | CVPR 2016 | Context Encoders: Feature Learning by Inpainting [pdf] [code] [blog1] [blog2] | CNN-based |
| 2016 | SIGGRAPH 2016 | High-resolution multi-scale neural texture synthesis [pdf] | |
| 2016 | ELCVIA 2016 | A block-based background model for moving object detection [paper] | GAN-based |
| 2016 | JEI 2016 | Moving object detection using a background modeling based on entropy theory and quad-tree decomposit [paper] | GAN-based |
| 2017 | CVPR 2017 | Semantic image inpainting with deep generative models [pdf] [code] [blog] | |
| 2017 | CVPR 2017 | High-resolution image inpainting using multi-scale neural patch synthesis [pdf] [code] [blog] | |
| 2017 | CVPR 2017 | Generative Face Completion [pdf] [code] [blog] | |
| 2017 | CVPR 2017 | Joint gap detection and inpainting of line drawings [paper] | CNN-based |
| 2017 | SIGGRAPH 2017 | Globally and Locally Consistent Image Completion [pdf] [code] [blog] | |
| 2017 | VC 2017 | Blind inpainting using the fully convolutional neural network [paper] | CNN-based |
| 2017 | ICVISP 2017 | High-resolution image inpainting through multiple deep networks [paper] | CNN-based |
| 2017 | ICDAR 2017 | Scene Text Eraser [paper] | CNN-based |
| 2017 | ICCC 2017 | A Deep Network Architecture for Image Inpainting [paper] | CNN-based |
| 2018 | CVPR 2018 | Generative Image Inpainting with Contextual Attention [pdf] [code] | |
| 2018 | CVPR 2018 | Natural and Effective Obfuscation by Head Inpainting [pdf] | |
| 2018 | CVPR 2018 | Eye In-Painting With Exemplar Generative Adversarial Networks [pdf] [code] | |
| 2018 | CVPR 2018 | UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition [pdf] | |
| 2018 | CVPR 2018 | Disentangling Structure and Aesthetics for Style-aware Image Completion [pdf] | |
| 2018 | ECCV 2018 | Image Inpainting for Irregular Holes Using Partial Convolutions [pdf] [code] [blog] | |
| 2018 | ECCV 2018 | Contextual-based Image Inpainting: Infer, Match, and Translate [pdf] | |
| 2018 | ECCV 2018 | Shift-Net: Image Inpainting via Deep Feature Rearrangement [pdf] [code] | CNN-based |
| 2018 | NIPS 2018 | Image Inpainting via Generative Multi-column Convolutional Neural Networks [pdf] [code] | |
| 2018 | TOG 2018 | Faceshop: Deep sketch-based face image editing [pdf] | |
| 2018 | ACM MM 2018 | Structural inpainting [pdf] | |
| 2018 | ACM MM 2018 | Semantic Image Inpainting with Progressive Generative Networks [pdf] [code] | |
| 2018 | BMVC 2018 | SPG-Net: Segmentation Prediction and Guidance Network for Image Inpainting [pdf] [code] | Segmentation |
| 2018 | BMVC 2018 | MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesi [pdf] [code] | |
| 2018 | ACCV 2018 | Face Completion with Semantic Knowledge and Collaborative Adversarial Learning [pdf] | |
| 2018 | ICASSP 2018 | Edge-Aware Context Encoder for Image Inpainting [pdf] | |
| 2018 | ICPR 2018 | Deep Structured Energy-Based Image Inpainting [pdf] [code] | |
| 2018 | AISTATS 2019 | Probabilistic Semantic Inpainting with Pixel Constrained CNNs [pdf] | |
| 2018 | ICRA 2018 | Just-in-time reconstruction: Inpainting sparse maps using single view depth predictors as priors [paper] | CNN-based |
| 2018 | SPIC 2018 | A deep learning approach to patch-based image inpainting forensics [paper] | CNN-based |
| 2018 | MS 2018 | Semantic object removal with convolutional neural network feature-based inpainting approach [paper] | CNN-based |
| 2018 | NCA 2018 | Occluded offline handwritten Chinese character recognition using deep convolutional generative adversarial network and improved GoogLeNet [paper] | GAN-based |
| 2018 | TIP 2018 | Perceptual Adversarial Networks for Image-to-Image Transformation [paper] | GAN-based |
| 2018 | GRSL 2018 | Inpainting of Remote Sensing SST Images With Deep Convolutional Generative Adversarial Network [paper] | GAN-based |
| 2018 | PRRS 2018 | Preliminary Investigation on Single Remote Sensing Image Inpainting Through a Modified GAN [paper] | GAN-based |
| 2018 | ICCES 2018 | Semantic Image Inpainting Vsing Self-Learning Encoder-Decoder and Adversarial Loss [paper] | GAN-based |
| 2018 | ICNC-FSKD 2018 | Image Inpainting Based on Generative Adversarial Networks [paper] | GAN-based |
| 2019 | ICRA 2019 | Empty Cities: Image Inpainting for a Dynamic-Object-Invariant Space [pdf] | |
| 2019 | AAAI 2019 | Video Inpainting by Jointly Learning Temporal Structure and Spatial Details [pdf] | Video |
| 2019 | CVPR 2019 | Pluralistic Image Completion [pdf] [code] [project] | Diversity |
| 2019 | CVPR 2019 | PEPSI: Fast Image Inpainting with Parallel Decoding Network [pdf] [code] | |
| 2019 | CVPR 2019 | Deep Reinforcement Learning of Volume-guided Progressive View Inpainting for 3D Point Scene Completion from a Single Depth Image [pdf] | |
| 2019 | CVPR 2019 | Foreground-aware Image Inpainting [pdf] | |
| 2019 | CVPR 2019 | Privacy Protection in Street-View Panoramas using Depth and Multi-View Imagery [pdf] | |
| 2019 | CVPR 2019 | Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting [pdf] [code] | ATN |
| 2019 | CVPR 2019 | Blind Visual Motif Removal from a Single Image [paper] | CNN-based |
| 2019 | CVPR 2019 | Deep Flow-Guided Video Inpainting [pdf] [project] | Video |
| 2019 | CVPR 2019 | Deep video inpainting [pdf] | Video |
| 2019 | CVPR Workshop 2019 | VORNet: Spatio-temporally Consistent Video Inpainting for Object Removal [pdf] | Video |
| 2019 | TNNLS 2019 | PEPSI++: Fast and Lightweight Network for Image Inpainting [pdf] | GAN-based |
| 2019 | IJCAI 2019 | MUSICAL: Multi-Scale Image Contextual Attention Learning for Inpainting [pdf] | |
| 2019 | IJCAI 2019 | Generative Image Inpainting with Submanifold Alignment [pdf] | |
| 2019 | IJCAI 2019 | Coarse-to-Fine Image Inpainting via Region-wise Convolutionsand Non-Local Correlation [pdf] | |
| 2019 | ACM MM 2019 | Progressive Image Inpainting with Full-Resolution Residual Network [pdf] [code] | |
| 2019 | ACM MM 2019 | Deep Fusion Network for Image Completion [pdf] [code] | CNN-based Fusion Block |
| 2019 | ACM MM 2019 | GAIN: Gradient Augmented Inpainting Network for Irregular Holes [pdf] [blog] | |
| 2019 | ACM MM 2019 | Single-shot Semantic Image Inpainting with Densely Connected Generative Networks [pdf] | |
| 2019 | ICCVW 2019 | EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning [pdf] [code] | |
| 2019 | ICCV 2019 | Coherent Semantic Attention for Image Inpainting [pdf] [code] [blog] | Attention |
| 2019 | ICCV 2019 | StructureFlow: Image Inpainting via Structure-aware Appearance Flow [pdf] [code] | |
| 2019 | ICCV 2019 | Progressive Reconstruction of Visual Structure for Image Inpainting [pdf] [code] | |
| 2019 | ICCV 2019 | Localization of Deep Inpainting Using High-Pass Fully Convolutional Network [pdf] | |
| 2019 | ICCV 2019 | Image Inpainting with Learnable Bidirectional Attention Maps [pdf] [code] | |
| 2019 | ICCV 2019 | Free-Form Image Inpainting with Gated Convolution [pdf] [code] [project] [blog1] [blog2] | |
| 2019 | ICCV 2019 | CIIDefence: Defeating Adversarial Attacks by Fusing Class-specific Image Inpainting and Image Denoising [pdf] | |
| 2019 | ICCV 2019 | FiNet: Compatible and Diverse Fashion Image Inpainting [pdf] | Fashion |
| 2019 | ICCV 2019 | SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and Color [pdf] [code] [blog] | Face |
| 2019 | ICCV 2019 | Human Motion Prediction via Spatio-Temporal Inpainting [pdf] [code] | Motion |
| 2019 | ICCV 2019 | Copy-and-Paste Networks for Deep Video Inpainting [pdf] | Video |
| 2019 | ICCV 2019 | Free-form Video Inpainting with 3D Gated Convolution and Temporal PatchGAN [pdf] [code] | Video |
| 2019 | ICCV 2019 | An Internal Learning Approach to Video Inpainting [pdf] | Video |
| 2019 | ICCV 2019 | Vision-Infused Deep Audio Inpainting [pdf] [code] | Audio |
| 2019 | ACCESS 2019 | Artist-Net: Decorating the Inferred Content With Unified Style for Image Inpainting [paper] | CNN-based |
| 2019 | NPL 2019 | An Improved Method for Semantic Image Inpainting with GANs: Progressive Inpainting [paper] | GAN-based |
| 2019 | NPL 2019 | Image inpainting: A review [paper] | Deep learning |
| 2019 | PCS 2019 | New Inpainting Algorithm Based on Simplified Context Encoders and Multi-Scale Adversarial Network [paper] | GAN-based |
| 2019 | PRL 2019 | Peeking behind objects: Layered depth prediction from a single image [paper] | GAN-based |
| 2019 | VISAPP 2019 | Semantic image inpainting through improved Wasserstein generative adversarial networks [paper] | GAN-based |
| 2020 | AAAI 2020 | Region Normalization for Image Inpainting [pdf] [code] | |
| 2020 | AAAI 2020 | Learning to Incorporate Structure Knowledge for Image Inpainting [pdf] [code] | ATN |
| 2020 | WACV 2020 | Evaluation of Image Inpainting for Classification and Retrieval [paper] | |
| 2020 | ACCESS 2020 | PiiGAN: Generative Adversarial Networks for Pluralistic Image Inpainting [paper][code] | Diversity |
| 2020 | CVPR 2020 | Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting [paper] [code] [code] | Huawei |
| 2020 | CVPR 2020 | UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation [paper] | Diverse |
| 2020 | CVPR 2020 | Recurrent Feature Reasoning for Image Inpainting [paper] [code] | Recurrent |
| 2020 | CVPR 2020 | Prior Guided GAN Based Semantic Inpainting [paper] | |
| 2020 | CVPR 2020 | Attentive Normalization for Conditional Image Generation [paper] [code] | Attention |
| 2020 | CVPR 2020 | Instance-aware Image Colorization [paper] [code] | Colorization |
| 2020 | CVPR 2020 | Intuitive, Interactive Beard and Hair Synthesis with Generative Models [paper] | Image Editing |
| 2020 | CVPR 2020 | Wish You Were Here: Context-Aware Human Generation [paper] | |
| 2020 | CVPR 2020 | Assessing Eye Aesthetics for Automatic Multi-Reference Eye In-Painting [paper] | Eye |
| 2020 | CVPR 2020 | 3D Photography using Context-aware Layered Depth Inpainting [paper] [code] | 3D |
| 2020 | CVPR 2020 | FeatureFlow: Robust Video Interpolation via Structure-to-texture Generation [paper] [code] | Video |
| 2020 | ECCV 2020 | Rethinking image inpainting via a mutual encoder-decoder with feature equalization [paper] [official code] | oral |
| 2020 | ECCV 2020 | Learning Object Placement by Inpainting for Compositional Data Augmentation [paper] | |
| 2020 | ECCV 2020 | High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling [paper] [code] | |
| 2020 | ECCV 2020 | VCNet: A Robust Approach to Blind Image Inpainting [paper] | |
| 2020 | ECCV 2020 | Guidance and Evaluation: Semantic-Aware Image Inpainting for Mixed Scenes [paper] | |
| 2020 | ECCV 2020 | Short-Term and Long-Term Context Aggregation Network for Video Inpainting [paper] | video |
| 2020 | ECCV 2020 | DVI: Depth Guided Video Inpainting for Autonomous Driving [paper] | video |
| 2020 | ECCV 2020 | Learning Joint Spatial-Temporal Transformations for Video Inpainting [paper] | video |
| 2020 | ECCVW 2020 (AIM 2020) | AIM 2020 Challenge on Image Extreme Inpainting [paper] [code] [webpage] | workshop |
| 2020 | ECCVW 2020 | Image Fine-grained Inpainting [paper] [code] | 1st |
| 2020 | ECCVW 2020 | DeepGIN: Deep Generative Inpainting Networkfor Extreme Image Inpainting [paper] [code] | 9th |
| 2020 | ACM MM 2020 | Image Inpainting Based on Multi-frequency Probabilistic Inference Model [paper] | |
| 2021 | WACV 2021 | Hyperrealistic Image Inpainting With Hypergraphs [paper] [code] | |
| 2021 | WACV 2021 | Multi-Level Generative Chaotic Recurrent Network for Image Inpainting [paper] | |
| 2021 | WACV 2021 | R-MNet: A Perceptual Adversarial Network for Image Inpainting [paper] [code] |
| Year | Proceeding | Title | Comment |
|---|---|---|---|
| 2000 | SIGGRAPH 2000 | Image Inpainting [pdf] [paper] | Diffusion-based |
| 2001 | TIP 2001 | Filling-in by joint interpolation of vector fields and gray levels [pdf] | Diffusion-based |
| 2001 | CVPR 2001 | Navier-stokes, fluid dynamics, and image and video inpainting [pdf] | |
| 2001 | SIGGRAPH 2001 | Image Quilting for Texture Synthesis and Transfer [pdf] | |
| 2001 | SIGGRAPH 2001 | Synthesizing Natural Textures [pdf] | |
| 2002 | EJAM 2002 | Digital inpainting based on the mumford–shah–euler image model [pdf] | Diffusion-based |
| 2003 | CVPR 2003 | Object removal by exemplar-based inpainting [pdf] | |
| 2003 | TIP 2003 | Simultaneous structure and texture image inpainting [pdf] | Diffusion-based |
| 2003 | TIP 2003 | Structure and Texture Filling-In of Missing Image Blocks in Wireless Transmission and Compression Applications [pdf] | |
| 2003 | ICCV 2003 | Learning How to Inpaint from Global Image Statistics [pdf] | Diffusion-based |
| 2003 | TOG 2003 | Fragment-based image completion [pdf] | Patch-based |
| 2004 | TIP 2004 | Region Filling and Object Removal by Exemplar-Based Image Inpainting [pdf] | Patch-based; Inpainting order |
| 2004 | TPAMI 2004 | Space-Time Video Completion [pdf] | |
| 2005 | SIGGRAPH 2005 | Image Completion with Structure Propagation [pdf] | Patch-based |
| 2006 | ISCS 2006 | Image Compression with Structure Aware Inpainting [pdf] | |
| 2006 | JIVP 2006 | Spatio-temporal consistent depth-image-based rendering using layered depth image and inpainting [paper] | Object removal |
| 2007 | TOG 2007 | Scene completion using millions of photographs [pdf] | |
| 2007 | CSVT 2007 | Image Compression With Edge-Based Inpainting [pdf] | Diffusion-based |
| 2007 | TPAMI 2007 | Space-Time Video Completion [pdf] | video |
| 2008 | CVPR 2008 | Summarizing Visual Data Using Bidirectional Similarity [pdf] | |
| 2009 | SIGGRAPH 2009 | PatchMatch: a randomized correspondence algorithm for structural image editing [pdf] | Patch-based |
| 2010 | TIP 2010 | Image inpainting by patch propagation using patch sparsity [pdf] | Patch-based |
| 2011 | FTCGV 2011 | Structured learning and prediction in computer vision [pdf] | |
| 2011 | ICIP 2011 | Examplar-based inpainting based on local geometry [pdf] | Inpainting order |
| 2012 | TOG 2012 | Combining inconsistent images using patch-based synthesis [pdf] | Patch-based |
| 2012 | ACM TOG 2012 | Image Melding: Combining Inconsistent Images using Patch-based Synthesis [pdf] | Patch-based |
| 2014 | TOG 2014 | Image completion using Planar structure guidance [pdf] | Patch-based |
| 2014 | TIP 2014 | Context-aware patch-based image inpainting using markov random field modeling [paper] [code] | Patch-based |
| 2014 | TPAMI 2014 | Image Completion Approaches Using the Statistics of Similar Patches [paper] | |
| 2014 | TVCG 2014 | High-Quality Real-Time Video Inpainting with PixMix [pdf] | Video |
| 2014 | SIAM 2014 | Video inpainting of complex scenes [pdf] | Video |
| 2015 | TIP 2015 | Annihilating Filter-Based Low-Rank Hankel Matrix Approach for Image Inpainting [pdf] | |
| 2015 | TIP 2015 | Exemplar-Based Inpainting: Technical Review and New Heuristics for Better Geometric Reconstructions [pdf] | |
| 2015 | TVCG 2015 | Diminished reality based on image inpainting considering background geometry [paper] | |
| 2015 | JGO 2015 | Fast algorithm for color texture image inpainting using the non-local ctv model [paper] | Patch-based |
| 2016 | MTA 2016 | Rate-distortion optimized image compression based on image inpainting [paper] | Patch-based |
| 2016 | SIVP 2016 | Domain-based structure-aware image inpainting [paper] | Patch-based |
| 2016 | SC 2016 | Image inpainting algorithm based on TV model and evolutionary algorithm [paper] | Diffusion-based |
| 2016 | ICAC 2016 | Image Inpainting Approaches – A Review [paper] | |
| 2016 | TOG 2016 | Temporally coherent completion of dynamic video [pdf] | Video |
| 2017 | TVCG 2017 | Patch-Based Image Inpainting via Two-Stage Low Rank Approximation [paper] | Patch-based |
| 2017 | TIP 2017 | Depth image inpainting: Improving low rank matrix completion with low gradient regularization [paper] [code] | Patch-based |
| 2017 | MTA 2017 | Exemplar-based image inpainting using svd-based approximation matrix and multi-scale analysis [paper] | Patch-based |
| 2017 | EURASIP 2017 | Damaged region filling and evaluation by symmetrical exemplar-based image inpainting for Thangka [paper] | Patch-based |
| 2017 | TIFS 2017 | Localization of diffusion-based inpainting in digital images [paper] | Diffusion-based |
| 2018 | MTA 2018 | Gradient-based low rank method and its application in image inpainting [paper] | Patch-based |
| 2018 | MTA 2018 | A novel patch matching algorithm for exemplar-based image inpainting [paper] | Patch-based |
| 2018 | MTA 2018 | A robust forgery detection algorithm for object removal by exemplar-based image inpainting [paper] | Patch-based |
| 2018 | TIP 2018 | Image Inpainting Using Nonlocal Texture Matching and Nonlinear Filtering [paper] | Patch-based |
| 2018 | TMM 2018 | Structure-guided image inpainting using homography transformation [paper] | Patch-based |
| 2018 | CC 2018 | Damaged region filling by improved criminisi image inpainting algorithm for thangka [paper] | Patch-based |
| 2018 | CC 2018 | The research of image inpainting algorithm using self-adaptive group structure and sparse representation [paper] | dictionary learning-based |
| 2018 | ACCESS 2018 | Sparsity-based image inpainting detection via canonical correlation analysis with low-rank constraints [paper] | Sparsity-based |
| 2019 | AJSE 2019 | Image Inpainting Algorithm Based on Saliency Map and Gray Entropy [paper] | Patch-based |
| 2019 | CSSP 2019 | Image inpainting based on fractional-order nonlinear diffusion for image reconstruction [paper] | Diffusion-based |
| Year | Proceeding | Title | Comment |
|---|---|---|---|
| 2018 | arXiv:1801.07632 | High Resolution Face Completion with Multiple Controllable Attributes via Fully End-to-End Progressive Generative Adversarial Networks [pdf] | |
| 2018 | arXiv:1803.07422 | Patch-Based Image Inpainting with Generative Adversarial Networks [pdf] [code] | |
| 2018 | arXiv:1808.04432 | X-GANs: Image Reconstruction Made Easy for Extreme Cases [pdf] | |
| 2018 | arXiv:1811.03911 | Unsupervised Learnable Sinogram Inpainting Network (SIN) for Limited Angle CT reconstruction [paper] | CNN-based |
| 2018 | arXiv:1811.07104 | On Hallucinating Context and Background Pixels from a Face Mask using Multi-scale GANs [pdf] | |
| 2018 | arXiv:1811.09012 | Multi-View Inpainting for RGB-D Sequence [pdf] | |
| 2018 | arXiv:1812.01458 | Deep Inception Generative network for Cognitive Image Inpainting [pdf] | |
| 2018 | arXiv:1808.08483 | Painting Outside the Box: Image Outpainting with GANs [paper] | GAN-based |
| 2019 | arXiv:1901.03396 | Detecting Overfitting of Deep Generative Networks via Latent Recovery [pdf] | |
| 2019 | arXiv:1902.00301 | Deep Hyperspectral Prior: Denoising, Inpainting, Super-Resolution [paper] | CNN-based |
| 2019 | arXiv:1902.09225 | Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation [pdf] | |
| 2019 | arXiv:1903.00450 | Multi-Object Representation Learning with Iterative Variational Inference [pdf] | |
| 2019 | arXiv:1903.04842 | Unsupervised motion saliency map estimation based on optical flow inpainting [pdf] | |
| 2019 | arXiv:1903.10885 | Learning Quadrangulated Patches For 3D Shape Processing [pdf] | |
| 2019 | arXiv:1904.10795 | Graph-based Inpainting for 3D Dynamic Point Clouds [pdf] | Point Cloud |
| 2019 | arXiv:1905.02882 | Frame-Recurrent Video Inpainting by Robust Optical Flow Inference [pdf] | Video |
| 2019 | arXiv:1905.02949 | Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence [pdf] | Video |
| 2019 | arXiv:1905.12384 | Coherent Semantic Attention for Image Inpainting [paper] | CNN-based |
| 2019 | arXiv:1905.13066 | Align-and-Attend Network for Globally and Locally Coherent Video Inpainting [pdf] | Video |
| 2019 | arXiv:1906.00884 | Fashion Editing with Multi-scale Attention Normalization [pdf] | |
| 2019 | arXiv:1912.01834 | Diversity-Generated Image Inpainting with Style Extraction [paper] [code] | GAN-based |
| 2019 | arXiv:1912.11711 | Controllable and Progressive Image Extrapolation [paper] | GAN-based |
| 2019 | arXiv:1912.10960v2 | Image Outpainting and Harmonization using Generative Adversarial Networks [paper] [code] | GAN-based |
| 2020 | arXiv:2001.04568 | 180-degree Outpainting from a Single Image [paper] | GAN-based |
| Year | Proceeding | Title | Comment |
|---|---|---|---|
| 2019 | arXiv:1903.10146v1 | PI-REC: Progressive Image Reconstruction Network With Edge and ColorDomain [paper] [code] | edge2image |
| Year | Proceeding | Title | Comment |
|---|---|---|---|
| 2020 | arXiv:1906.01529v5 | Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy [paper] | Overview |
| 2019 | arXiv:1809.06222v3 | GANs for Medical Image Analysis [paper] [link] | Medical |
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