Video Inpainting

18 papers with code • 2 benchmarks • 4 datasets

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

Greatest papers with code

Deep Flow-Guided Video Inpainting

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

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

One-shot visual object segmentation Optical Flow Estimation +2

Flow-edge Guided Video Completion

vt-vl-lab/FGVC ECCV 2020

We present a new flow-based video completion algorithm.

Video Inpainting

Deep Video Inpainting

mcahny/Deep-Video-Inpainting CVPR 2019

Video inpainting aims to fill spatio-temporal holes with plausible content in a video.

Image Inpainting Optical Flow Estimation +3

Improving Video Generation for Multi-functional Applications

bernhard2202/improved-video-gan 30 Nov 2017

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 +2

DVI: Depth Guided Video Inpainting for Autonomous Driving

ApolloScapeAuto/dataset-api ECCV 2020

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 Image Inpainting +2

Learnable Gated Temporal Shift Module for Deep Video Inpainting

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

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

amjltc295/Free-Form-Video-Inpainting ICCV 2019

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

researchmm/STTN ECCV 2020

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

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

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 +1

Onion-Peel Networks for Deep Video Completion

seoungwugoh/opn-demo ICCV 2019

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