AIIC AI Intelligence Centre

SOURCE-LINKED INTELLIGENCE

Preserving Subject-Clarity in Image Outpainting with Multiscale Wavelet Supervision

arXiv · AI, language, vision and robotics · article · Sep 5, 2026 · UTC

Commercial and advertising images are frequently affected by poor framing, partially cropped subjects, truncated text or logos, and insufficient context, all of which can reduce subject clarity, i.e., the ability of an image to clearly communicate its primary subject. Image outpainting offers a scalable solution by extending image boundaries and recovering missing content and context. However, existing diffusion-based outpainting methods often produce visually plausible completions while degrading subject fidelity through structural inconsistencies, semantic drift, or loss of fine-grained deta

Read original source ↗ Open in workspace

recordType
paper
region
Global

Evidence & attribution

First collected: 2026-09-20T21:32:07.623Z. This is not the publication date.