Natural hazards, which have the potential to cause catastrophic damage and loss to
infrastructure, have increased significantly in recent decades. Thus, the construction …

Text-guided generative diffusion models unlock powerful image creation and editing tools.
Recent approaches that edit the content of footage while retaining structure require …

Image diffusion models, trained on massive image collections, have emerged as the most
versatile image generator model in terms of quality and diversity. They support inverting real …

Diffusion-based methods can generate realistic images and videos, but they struggle to edit
existing objects in a video while preserving their geometry over time. This prevents diffusion …

We present a method for zero-shot, text-driven editing of natural images and videos. Given
an image or a video and a text prompt, our goal is to edit the appearance of existing objects …

We present the content deformation field (CoDeF) as a new type of video representation
which consists of a canonical content field aggregating the static contents in the entire video …

The generative AI revolution has recently expanded to videos. Nevertheless, current state-of-
the-art video models are still lagging behind image models in terms of visual quality and …

To address the challenges of digital intelligence in the digital economy, artificial intelligence-
generated content (AIGC) has emerged. AIGC uses artificial intelligence to assist or replace …

Neural implicit fields are powerful for representing 3D scenes and generating high-quality
novel views, but it remains challenging to use such implicit representations for creating a 3D …

Neural Style Transfer (NST) is a class of software algorithms that allows us to transform
scenes, change/edit the environment of a media with the help of a Neural Network. NST …