Image Outpainting

21 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

Most implemented papers

Taming Transformers for High-Resolution Image Synthesis

CompVis/taming-transformers CVPR 2021

We demonstrate how combining the effectiveness of the inductive bias of CNNs with the expressivity of transformers enables them to model and thereby synthesize high-resolution images.

MaskGIT: Masked Generative Image Transformer

google-research/maskgit CVPR 2022

At inference time, the model begins with generating all tokens of an image simultaneously, and then refines the image iteratively conditioned on the previous generation.

Painting Outside the Box: Image Outpainting with GANs

ShinyCode/image-outpainting 25 Aug 2018

The challenging task of image outpainting (extrapolation) has received comparatively little attention in relation to its cousin, image inpainting (completion).

Wide-Context Semantic Image Extrapolation

shepnerd/outpainting_srn CVPR 2019

This paper studies the fundamental problem of extrapolating visual context using deep generative models, i. e., extending image borders with plausible structure and details.

Image Outpainting and Harmonization using Generative Adversarial Networks

basilevh/image-outpainting 23 Dec 2019

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.

0.5 Petabyte Simulation of a 45-Qubit Quantum Circuit

quantumlib/qsim 4 Apr 2017

Near-term quantum computers will soon reach sizes that are challenging to directly simulate, even when employing the most powerful supercomputers.

Multimodal Image Outpainting With Regularized Normalized Diversification

owenzlz/DiverseOutpaint 25 Oct 2019

In this paper, we study the problem of generating a set ofrealistic and diverse backgrounds when given only a smallforeground region.

Very Long Natural Scenery Image Prediction by Outpainting

z-x-yang/NS-Outpainting ICCV 2019

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.

Enhanced Residual Networks for Context-based Image Outpainting

etarthur/Outpainting 14 May 2020

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.

SiENet: Siamese Expansion Network for Image Extrapolation

nanjingxiaobawang/SieNet-Image-extrapolation 8 Jul 2020

In this paper, a novel two-stage siamese adversarial model for image extrapolation, named Siamese Expansion Network (SiENet) is proposed.