Image Outpainting

Description from the archive archive 2025-07-28; Papers-with-Code links inside it are rewritten to this site.

Benchmarks archive 2025-07-28

3 leaderboard tables shown for this task, 3 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

4 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

23 shown of 23 papers with code (47 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Taming Transformers for High-Resolution Image Synthesis
  17 Dec 2020 13 repositories listed Syntology ran 6 of 6 samples · 0 unverified · 4 pointer-only (licence)
  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
  8 Feb 2022 9 repositories listed Syntology ran 14 of 21 samples · 7 unverified · 4 pointer-only (licence)
  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.
• Image Outpainting and Harmonization using Generative Adversarial Networks
  23 Dec 2019 2 repositories listed
  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.
• Wide-Context Semantic Image Extrapolation
  1 Jun 2019 2 repositories listed
  This paper studies the fundamental problem of extrapolating visual context using deep generative models, i.
• Painting Outside the Box: Image Outpainting with GANs
  25 Aug 2018 2 repositories listed
  The challenging task of image outpainting (extrapolation) has received comparatively little attention in relation to its cousin, image inpainting (completion).
• Diffusion-based Generative Image Outpainting for Recovery of FOV-Truncated CT Images
  7 Jun 2024 1 repository listed
  Field-of-view (FOV) recovery of truncated chest CT scans is crucial for accurate body composition analysis, which involves quantifying skeletal muscle and subcutaneous adipose tissue (SAT) on CT slices.
• VIP: Versatile Image Outpainting Empowered by Multimodal Large Language Model
  3 Jun 2024 1 repository listed
  In this paper, we focus on resolving the problem of image outpainting, which aims to extrapolate the surrounding parts given the center contents of an image.
• Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach
  28 Jan 2024 1 repository listed Syntology ran 6 of 8 samples · 2 unverified · 8 pointer-only (licence)
  At inference, we generate images with arbitrary expansion multiples by inputting an anchor image and its corresponding positional embeddings.
• FishDreamer: Towards Fisheye Semantic Completion via Unified Image Outpainting and Segmentation
  24 Mar 2023 1 repository listed
  This paper raises the new task of Fisheye Semantic Completion (FSC), where dense texture, structure, and semantics of a fisheye image are inferred even beyond the sensor field-of-view (FoV).
• SinDiffusion: Learning a Diffusion Model from a Single Natural Image
  22 Nov 2022 1 repository listed Syntology ran 13 of 20 samples · 7 unverified
  We present SinDiffusion, leveraging denoising diffusion models to capture internal distribution of patches from a single natural image.
• NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis
  20 Jul 2022 1 repository listed
  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.
• Outpainting by Queries
  12 Jul 2022 1 repository listed Syntology ran 3 of 8 samples · 5 unverified
  Image outpainting, which is well studied with Convolution Neural Network (CNN) based framework, has recently drawn more attention in computer vision.
• FisheyeEX: Polar Outpainting for Extending the FoV of Fisheye Lens
  12 Jun 2022 1 repository listed
  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.
• Cylin-Painting: Seamless {360\textdegree} Panoramic Image Outpainting and Beyond
  18 Apr 2022 1 repository listed
  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…
• Diverse Plausible 360-Degree Image Outpainting for Efficient 3DCG Background Creation
  28 Mar 2022 1 repository listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  To improve the properties of a 360-degree image on an output image, we also propose WS-perceptual loss and circular inference.
• Generalised Image Outpainting with U-Transformer
  27 Jan 2022 1 repository listed
  In this paper, we develop a novel transformer-based generative adversarial neural network called U-Transformer for generalised image outpainting problem.
• In-N-Out: Towards Good Initialization for Inpainting and Outpainting
  26 Jun 2021 1 repository listed
  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.
• ReGO: Reference-Guided Outpainting for Scenery Image
  20 Jun 2021 1 repository listed
  We aim to tackle the challenging yet practical scenery image outpainting task in this work.
• Bridging the Visual Gap: Wide-Range Image Blending
  28 Mar 2021 1 repository listed Syntology ran 6 of 9 samples · 3 unverified · 9 pointer-only (licence)
  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…
• SiENet: Siamese Expansion Network for Image Extrapolation
  8 Jul 2020 1 repository listed
  In this paper, a novel two-stage siamese adversarial model for image extrapolation, named Siamese Expansion Network (SiENet) is proposed.
• Enhanced Residual Networks for Context-based Image Outpainting
  14 May 2020 1 repository listed
  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.
• Very Long Natural Scenery Image Prediction by Outpainting
  29 Dec 2019 1 repository listed Syntology ran 0 of 2 samples · 2 unverified
  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.
• Multimodal Image Outpainting With Regularized Normalized Diversification
  25 Oct 2019 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  In this paper, we study the problem of generating a set ofrealistic and diverse backgrounds when given only a smallforeground region.

Syntology lines on 9 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.