Add to ORKGIt is a premise that would have been met with derision several years ago, but the recent rise of diffusion models and their ability to produce hyperrealistic images now prompts us to engage seriously with this question. Here, we use three diffusion models – DALLE-2, Midjourney, and Stable Diffusion – to explore whether neural networks can produce realistic photographs of weather phenomena, and how to use their strengths in a manner that might win a weather photography competition. Finally, we invite the reader to take part in a test and judge which photos were previous finalists, and which were AI-generated
Recently, Deep Neural Networks (DNNs) have achieved remarkable performances in many applications, wh...
Recently, there has been growing interest in the possibility of using neural networks for both weath...
The most mature aspect of applying artificial intelligence (AI)/machine learning (ML) to problems in...
AI methods are rapidly taking hold in almost any aspect of our lives. In some specialized applicatio...
Weather and climate prediction is dominated by high dimensionality, interactions on many different s...
Weather prediction from real-world images can be termed a complex task when targeting classification...
Weather prediction from real-world images can be termed a complex task when targeting classification...
During the last decade, much progress was made in the fields of artificial intelligence and machine ...
Numerical weather prediction (NWP) models solve a system of partial differential equations based on ...
Artificial Intelligence (AI) is an explosively growing field of computer technology, which is expect...
This is the companion upload for our paper Photographic Visualizations of Weather Forecasts with Gen...
Weather prediction from real-world images can be termed a complex task when targeting classification...
AI image generation has grown significantly more accessible over the past few months and is expandin...
The Climate Change topic itself and associated life adjustments became a top global problem of the X...
International audienceThe road traffic is highly sensitive to weather conditions. Accumulation of sn...
Recently, Deep Neural Networks (DNNs) have achieved remarkable performances in many applications, wh...
Recently, there has been growing interest in the possibility of using neural networks for both weath...
The most mature aspect of applying artificial intelligence (AI)/machine learning (ML) to problems in...
AI methods are rapidly taking hold in almost any aspect of our lives. In some specialized applicatio...
Weather and climate prediction is dominated by high dimensionality, interactions on many different s...
Weather prediction from real-world images can be termed a complex task when targeting classification...
Weather prediction from real-world images can be termed a complex task when targeting classification...
During the last decade, much progress was made in the fields of artificial intelligence and machine ...
Numerical weather prediction (NWP) models solve a system of partial differential equations based on ...
Artificial Intelligence (AI) is an explosively growing field of computer technology, which is expect...
This is the companion upload for our paper Photographic Visualizations of Weather Forecasts with Gen...
Weather prediction from real-world images can be termed a complex task when targeting classification...
AI image generation has grown significantly more accessible over the past few months and is expandin...
The Climate Change topic itself and associated life adjustments became a top global problem of the X...
International audienceThe road traffic is highly sensitive to weather conditions. Accumulation of sn...
Recently, Deep Neural Networks (DNNs) have achieved remarkable performances in many applications, wh...
Recently, there has been growing interest in the possibility of using neural networks for both weath...
The most mature aspect of applying artificial intelligence (AI)/machine learning (ML) to problems in...