FEC: Three Finetuning-free Methods to Enhance Consistency for Real Image Editing

Understand

Text-conditional image editing is a very useful task that has recently emerged with immeasurable potential.

• Most current real image editing methods first need to complete the reconstruction of the image, and then editing is carried out by various methods based on the reconstruction.
• Most methods use DDIM Inversion for reconstruction, however, DDIM Inversion often fails to guarantee reconstruction performance, i.e., it fails to produce results that preserve the original image content.
• To address the problem of reconstruction failure, we propose FEC, which consists of three sampling methods, each designed for different editing types and settings.