Harmony (A TIH) to generate novel and surprising objects.

For image editing, it also excels in complex editing tasks. 2 Therefore, it is nearly impossible for a well-trained model to meet all human requirements, and the

We address these challenges by investigating the primary contributors to error accumulation in DDIM inversion and identify the singularity problem in traditional noise schedules as a key issue.

We start from an intuition that many complex visual data, e.g., videos and 3D scenes, are represented

In this paper, we introduce a novel one-step drag-based image editing method, i.e., FastDrag, to accelerate the editing process.