About

The goal of Video Inpainting is to fill in missing regions of a given video sequence with contents that are both spatially and temporally coherent. Video Inpainting, also known as video completion, has many real-world applications such as undesired object removal and video restoration.

Source: Deep Flow-Guided Video Inpainting

Benchmarks

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Datasets

Greatest papers with code

Deep Flow-Guided Video Inpainting

CVPR 2019 nbei/Deep-Flow-Guided-Video-Inpainting

Then the synthesized flow field is used to guide the propagation of pixels to fill up the missing regions in the video.

OPTICAL FLOW ESTIMATION VIDEO FIXED REGION INPAINTING VIDEO INPAINTING YOUTUBE-VOS

Flow-edge Guided Video Completion

ECCV 2020 vt-vl-lab/FGVC

We present a new flow-based video completion algorithm.

VIDEO INPAINTING

Improving Video Generation for Multi-functional Applications

30 Nov 2017bernhard2202/improved-video-gan

In this paper, we aim to improve the state-of-the-art video generative adversarial networks (GANs) with a view towards multi-functional applications.

COLORIZATION FUTURE PREDICTION VIDEO GENERATION VIDEO INPAINTING

DVI: Depth Guided Video Inpainting for Autonomous Driving

ECCV 2020 ApolloScapeAuto/dataset-api

To get clear street-view and photo-realistic simulation in autonomous driving, we present an automatic video inpainting algorithm that can remove traffic agents from videos and synthesize missing regions with the guidance of depth/point cloud.

AUTONOMOUS DRIVING POINT CLOUD REGISTRATION VIDEO INPAINTING

Learnable Gated Temporal Shift Module for Deep Video Inpainting

2 Jul 2019amjltc295/Free-Form-Video-Inpainting

How to efficiently utilize temporal information to recover videos in a consistent way is the main issue for video inpainting problems.

IMAGE INPAINTING VIDEO INPAINTING

Free-form Video Inpainting with 3D Gated Convolution and Temporal PatchGAN

ICCV 2019 amjltc295/Free-Form-Video-Inpainting

Free-form video inpainting is a very challenging task that could be widely used for video editing such as text removal.

VIDEO INPAINTING

Learning Joint Spatial-Temporal Transformations for Video Inpainting

ECCV 2020 researchmm/STTN

In this paper, we propose to learn a joint Spatial-Temporal Transformer Network (STTN) for video inpainting.

VIDEO INPAINTING

Copy-and-Paste Networks for Deep Video Inpainting

ICCV 2019 shleecs/Copy-and-Paste-Networks-for-Deep-Video-Inpainting

We propose a novel DNN-based framework called the Copy-and-Paste Networks for video inpainting that takes advantage of additional information in other frames of the video.

IMAGE INPAINTING LANE DETECTION VIDEO INPAINTING

Onion-Peel Networks for Deep Video Completion

ICCV 2019 seoungwugoh/opn-demo

Given a set of reference images and a target image with holes, our network fills the hole by referring the contents in the reference images.

VIDEO INPAINTING