Hyper-parameter tuning for text guided image editing
This work provides an incremental improvement for users needing efficient and general image editing with text prompts.
The paper tackles the problem of text-guided image editing by introducing Forgedit, a test-time finetuning method that addresses overfitting issues in previous SOTA like Imagic, achieving image understanding in 30 seconds.
The test-time finetuning text-guided image editing method, Forgedit, is capable of tackling general and complex image editing problems given only the input image itself and the target text prompt. During finetuning stage, using the same set of finetuning hyper-paramters every time for every given image, Forgedit remembers and understands the input image in 30 seconds. During editing stage, the workflow of Forgedit might seem complicated. However, in fact, the editing process of Forgedit is not more complex than previous SOTA Imagic, yet completely solves the overfitting problem of Imagic. In this paper, we will elaborate the workflow of Forgedit editing stage with examples. We will show how to tune the hyper-parameters in an efficient way to obtain ideal editing results.