Lune

ICCV2025Top-tier venue

Progressive Artwork Outpainting Via Latent Diffusion Models

Dae-Young Song, Jung-Jae Yu, Donghyeon Cho

2025Year
2Citations
1Top-tier citations

Abstract

Figure 1. Outpainting comparisons between single-step (a) and progressive approaches (b,c). (a) Results of the single-step outpainting. We first resize the input image to a fixed size suitable for a conventional outpainting model, and then apply outpainting. After that, we revert the image to its original aspect ratio. Finally, we use a super-resolution model to restore the reduced resolution. (b) Results of progressive outpainting without consideration of overall composition. (c) Results of our method with global context consideration and planning. The red bounding boxes indicate the inputs.

Progressive approach enables outpainting in any direction and produces high-fidelity, high-resolution images with no restrictions on aspect ratio. Furthermore, our method produces globally harmonious outpainting results compared to models that do not take overall composition into account.

Ask about this paper

Your agent reads all of it.

Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.

Questions to start from

Your agent calls

Luneget_paper_fulltext

Ask in Lune

Free to start. No credit card required.

Cited by top-tier papers1

Ask how each one uses it

Builds on30

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines