2026
EditMGT: Unleashing Potentials of Masked Generative Transformers in Image Editing
CVPR 2026
Recent advances in diffusion models (DMs) have achieved exceptional visual quality in image editing tasks. However, the global denoising dynamics of DMs inherently conflate local editing targets with the full-image context, leading to unintended modifications in non-target regions. In this paper, we