Image Outpainting
Predicting the visual context of an image beyond its boundary.
Leaderboards
| TREND | DATASET | BEST METHOD | PAPER TITLE | PAPER | CODE | COMPARE |
|---|---|---|---|---|---|---|
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Greatest papers with code
Wide-Context Semantic Image Extrapolation
CVPR 2019
• shepnerd/outpainting_srn
• 
This paper studies the fundamental problem of extrapolating visual context using deep generative models, i. e., extending image borders with plausible structure and details.
Painting Outside the Box: Image Outpainting with GANs
• ShinyCode/image-outpainting
•
The challenging task of image outpainting (extrapolation) has received comparatively little attention in relation to its cousin, image inpainting (completion).
Very Long Natural Scenery Image Prediction by Outpainting
ICCV 2019
• z-x-yang/NS-Outpainting
•
The second challenge is how to maintain high quality in generated results, especially for multi-step generations in which generated regions are spatially far away from the initial input.
Very Long Natural Scenery Image Prediction by Outpainting
ICCV 2019
• z-x-yang/NS-Outpainting
•
The experimental results on this dataset have demonstrated the efficacy of our proposed network.
Multimodal Image Outpainting With Regularized Normalized Diversification
In this paper, we study the problem of generating a set ofrealistic and diverse backgrounds when given only a smallforeground region.
Enhanced Residual Networks for Context-based Image Outpainting
Although humans perform well at predicting what exists beyond the boundaries of an image, deep models struggle to understand context and extrapolation through retained information.
#2 best model for
Image Outpainting
on Places365-Standard
Image Outpainting and Harmonization using Generative Adversarial Networks
This way, the hallucinated details are integrated with the style of the original image, in an attempt to further boost the quality of the result and possibly allow for arbitrary output resolutions to be supported.