Lune

CVPR2024Top-tier venue

ElasticDiffusion: Training-Free Arbitrary Size Image Generation Through Global-Local Content Separation

Moayed Haji-Ali, Guha Balakrishnan, Vicente Ordonez

2024Year
12Top-tier citations

Abstract

Figure 1. ElasticDiffusion generates high quality images at arbitrary sizes using a pretrained diffusion model trained on a single image size, with equivalent memory footprint and no further training. These results are based on Stable Diffusion1.4, which was trained to generate 512 × 512 images. The examples shown in this collage are presented without any image cropping, stretching, or post-processing.

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.

lune papers fulltext 3b9e858b-e2c8-47cf-b148-bc31d09e293f

Cited by top-tier papers12

Ask how each one uses it

Builds on34

Related papers

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