Image Outpainting
22 papers with code • 3 benchmarks • 4 datasets
Predicting the visual context of an image beyond its boundary.
Image credit: NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis
Benchmarks
These leaderboards are used to track progress in Image Outpainting
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MS COCO
MSCOCO
Places365
LHQ
Most implemented papers
Bridging the Visual Gap: Wide-Range Image Blending
julia0607/Wide-Range-Image-Blending
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CVPR 2021
In this paper we propose a new problem scenario in image processing, wide-range image blending, which aims to smoothly merge two different input photos into a panorama by generating novel image content for the intermediate region between them.
ReGO: Reference-Guided Outpainting for Scenery Image
We aim to tackle the challenging yet practical scenery image outpainting task in this work.
In-N-Out: Towards Good Initialization for Inpainting and Outpainting
Our self-supervision method, In-N-Out, is summarized as a training approach that leverages the knowledge of the opposite task into the target model.
Generalised Image Outpainting with U-Transformer
In this paper, we develop a novel transformer-based generative adversarial neural network called U-Transformer for generalised image outpainting problem.
Diverse Plausible 360-Degree Image Outpainting for Efficient 3DCG Background Creation
akmtn/OmniDreamer
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CVPR 2022
To improve the properties of a 360-degree image on an output image, we also propose WS-perceptual loss and circular inference.
Cylin-Painting: Seamless {360\textdegree} Panoramic Image Outpainting and Beyond
kangliao929/cylin-painting
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Motivated by this analysis, we present a Cylin-Painting framework that involves meaningful collaborations between inpainting and outpainting and efficiently fuses the different arrangements, with a view to leveraging their complementary benefits on a seamless cylinder.
FisheyeEX: Polar Outpainting for Extending the FoV of Fisheye Lens
For the distortion synthesis, we propose a spiral distortion-aware perception module, in which the learning path keeps consistent with the distortion prior of the fisheye image.
Outpainting by Queries
kaiseem/queryotr
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Image outpainting, which is well studied with Convolution Neural Network (CNN) based framework, has recently drawn more attention in computer vision.
NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis
In this paper, we present NUWA-Infinity, a generative model for infinite visual synthesis, which is defined as the task of generating arbitrarily-sized high-resolution images or long-duration videos.
SinDiffusion: Learning a Diffusion Model from a Single Natural Image
We present SinDiffusion, leveraging denoising diffusion models to capture internal distribution of patches from a single natural image.
