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GANS

GAN contains two networks which has two competing objectives:

Generator: the generator generates new data instances that are "similar" to the training data, in our case celebA images. Generator takes random latent vector and output a "fake" image of the same size as our reshaped celebA image.

Discriminator: the discriminator evaluate the authenticity of provided images; it classifies the images from the generator and the original image. Discriminator takes true of fake images and output the probability estimate ranging between 0 and 1.

Generative adversarial networks (GANs) are one of the hottest topics in deep learning. (GANs) are a class of artificial algorithms used in unsupervised learning algorithm, implemented by a system of two neural networks

Both networks are contesting with each other in the Zero-Sum Game Framework. Generative Adversarial Networks(GANs) are a set of models that basically learn to create synthetic data that is similar to input data it’s given.

Deep-Learning-based Methods

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]
2016 CVPR 2016 Context Encoders: Feature Learning by Inpainting [pdf] [code]
2016 SIGGRAPH 2016 High-resolution multi-scale neural texture synthesis [pdf]
2017 CVPR 2017 Semantic image inpainting with deep generative models [pdf] [code]
2017 CVPR 2017 High-resolution image inpainting using multi-scale neural patch synthesis [pdf] [code]
2017 CVPR 2017 Generative Face Completion [pdf] [code]
2017 SIGGRAPH 2017 Globally and Locally Consistent Image Completion [pdf] [code]
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]
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]
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]
2018 BMVC 2018 MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesi [pdf] [code]
2018 ACCV 2018 Face Completion iwht 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]
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]
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]
2019 CVPR 2019 Deep Flow-Guided Video Inpainting [pdf] [project] Video
2019 CVPR 2019 Deep video inapinting [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]
2019 IJCAI 2019 MUSICAL: Multi-Scale Image Contextual Attention Learning for Inpainting [pdf]
2019 IJCAI 2019 Generative Image Inpainting with Submanifold Alignment [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]
2019 ACM MM 2019 GAIN: Gradient Augmented Inpainting Network for Irregular Holes [pdf]
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]
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] [project]
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] 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] [code] Video
2019 ICCV 2019 Onion-Peel Networks for Deep Video Completion [pdf] [code] 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 AAAI 2020 Region Normalization for Image Inpainting [pdf] [code]