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[HTML][HTML] Survey on synthetic data generation, evaluation methods and GANs
Synthetic data consists of artificially generated data. When data are scarce, or of poor
quality, synthetic data can be used, for example, to improve the performance of machine …
quality, synthetic data can be used, for example, to improve the performance of machine …
All one needs to know about metaverse: A complete survey on technological singularity, virtual ecosystem, and research agenda
Since the popularisation of the Internet in the 1990s, the cyberspace has kept evolving. We
have created various computer-mediated virtual environments, including social networks …
have created various computer-mediated virtual environments, including social networks …
Ten years of generative adversarial nets (GANs): a survey of the state-of-the-art
Generative adversarial networks (GANs) have rapidly emerged as powerful tools for
generating realistic and diverse data across various domains, including computer vision and …
generating realistic and diverse data across various domains, including computer vision and …
Automatic responsive-generation of 3D urban morphology coupled with local climate zones using generative adversarial network
Decoupling the intricate relationship between three-dimensional (3D) urban morphology
and local climate is paramount importance in the realm of adaptive urban planning …
and local climate is paramount importance in the realm of adaptive urban planning …
When geoscience meets generative AI and large language models: Foundations, trends, and future challenges
Abstract Generative Artificial Intelligence (GAI) represents an emerging field that promises
the creation of synthetic data and outputs in different modalities. GAI has recently shown …
the creation of synthetic data and outputs in different modalities. GAI has recently shown …
Leveraging generative AI for urban digital twins: a sco** review on the autonomous generation of urban data, scenarios, designs, and 3D city models for smart city …
The digital transformation of modern cities by integrating advanced information,
communication, and computing technologies has marked the epoch of data-driven smart city …
communication, and computing technologies has marked the epoch of data-driven smart city …
Conditional diffusion model for Urban morphology prediction
T Shi, L Zhao, F Liu, M Zhang, M Li, C Peng, H Li - Remote Sensing, 2024 - mdpi.com
Predicting urban morphology based on local attributes is an important issue in urban
science research. The deep generative models represented by generative adversarial …
science research. The deep generative models represented by generative adversarial …
TTSR: A transformer-based topography neural network for digital elevation model super-resolution
Digital elevation models (DEMs) are crucial geographical data sources, whereas the
resolution of commonly used DEM products is low and cannot meet the requirement of …
resolution of commonly used DEM products is low and cannot meet the requirement of …
Leveraging generative AI for smart city digital twins: a survey on the autonomous generation of data, scenarios, 3D city models, and urban designs
The digital transformation of modern cities by integrating advanced information,
communication, and computing technologies has marked the epoch of data-driven smart city …
communication, and computing technologies has marked the epoch of data-driven smart city …
AI illustrator: Translating raw descriptions into images by prompt-based cross-modal generation
AI illustrator aims to automatically design visually appealing images for books to provoke
rich thoughts and emotions. To achieve this goal, we propose a framework for translating …
rich thoughts and emotions. To achieve this goal, we propose a framework for translating …