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Fengyi Fu

3 accepted papers

2026

LayerEdit: Disentangled Multi-Object Editing via Conflict-Aware Multi-Layer Learning

AAAI 2026technical

Text-driven multi-object image editing which aims to precisely modify multiple objects within an image based on text descriptions, has recently attracted considerable interest. Existing works primarily follow the localize-editing paradigm, focusing on independent object localization and editing whil

Cited by 0SourcePDFScholar
2025

FeedEdit: Text-Based Image Editing with Dynamic Feedback Regulation

CVPR 2025poster

Text-based image editing which aims at generating rigid or non-rigid changes to images conditioned on the given text, has recently attracted considerable interest. Previous works mainly follow the multi-step denoising diffusion paradigm, which adopts a fixed text guidance intensity (i.e., editing in…

Cited by 0SourcePDFScholar