Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …

Image editing aims to edit the given synthetic or real image to meet the specific requirements
from users. It is widely studied in recent years as a promising and challenging field of …

Video-P2P is the first framework for real-world video editing with cross-attention control.
While attention control has proven effective for image editing with pre-trained image …

Denoising diffusion probabilistic models (DDPMs) employ a sequence of white Gaussian
noise samples to generate an image. In analogy with GANs those noise maps could be …

Denoising diffusion models have emerged as a powerful tool for various image generation
and editing tasks, facilitating the synthesis of visual content in an unconditional or input …

DDIM inversion has revealed the remarkable potential of real image editing within diffusion-
based methods. However, the accuracy of DDIM reconstruction degrades as larger classifier …

Recent advances in diffusion models have successfully enabled text-guided image
inpainting. While it seems straightforward to extend such editing capability into the video …

Despite recent advances in inversion-based editing, text-guided image manipulation
remains challenging for diffusion models. The primary bottlenecks include 1) the time …

In the realm of Business Process Management (BPM), process modeling plays a crucial role
in translating complex process dynamics into comprehensible visual representations …

Despite recent advances in inversion-based editing text-guided image manipulation
remains challenging for diffusion models. The primary bottlenecks include 1) the time …