Digital twin-driven intelligence disaster prevention and mitigation for infrastructure: Advances, challenges, and opportunities
D Yu, Z He - Natural hazards, 2022 - Springer
Natural hazards, which have the potential to cause catastrophic damage and loss to
infrastructure, have increased significantly in recent decades. Thus, the construction …
infrastructure, have increased significantly in recent decades. Thus, the construction …
Structure and content-guided video synthesis with diffusion models
P Esser, J Chiu, P Atighehchian… - Proceedings of the …, 2023 - openaccess.thecvf.com
Text-guided generative diffusion models unlock powerful image creation and editing tools.
Recent approaches that edit the content of footage while retaining structure require …
Recent approaches that edit the content of footage while retaining structure require …
Pix2video: Video editing using image diffusion
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 …
versatile image generator model in terms of quality and diversity. They support inverting real …
Stablevideo: Text-driven consistency-aware diffusion video editing
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 …
existing objects in a video while preserving their geometry over time. This prevents diffusion …
Text2live: Text-driven layered image and video editing
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 …
an image or a video and a text prompt, our goal is to edit the appearance of existing objects …
Codef: Content deformation fields for temporally consistent video processing
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 …
which consists of a canonical content field aggregating the static contents in the entire video …
Tokenflow: Consistent diffusion features for consistent video editing
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 …
the-art video models are still lagging behind image models in terms of visual quality and …
Ai-generated content (aigc): A survey
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 …
generated content (AIGC) has emerged. AIGC uses artificial intelligence to assist or replace …
Avatarcraft: Transforming text into neural human avatars with parameterized shape and pose control
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 …
novel views, but it remains challenging to use such implicit representations for creating a 3D …
Neural style transfer: A critical review
A Singh, V Jaiswal, G Joshi, A Sanjeeve, S Gite… - IEEE …, 2021 - ieeexplore.ieee.org
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 …
scenes, change/edit the environment of a media with the help of a Neural Network. NST …