Adversarial Image Generation Using Evolution and Deep Learning

2018 ◽  
Author(s):  
Jacob Soderlund ◽  
Alan Blair
Keyword(s):  
Deep Learning ◽  
Image Generation

Exploring Techniques for Photo-realistic Image Generation from 3D Models - A Deep Learning Approach

2021 ◽  
Author(s):  
Pranoy Ghosh ◽  
Krithika M Pai ◽  
Manohara Pai M M ◽  
Ujjwal Verma ◽  
Frederic Rivet ◽  
...  
Keyword(s):  
Deep Learning ◽  
3D Models ◽  
Learning Approach ◽  
Image Generation ◽  
Realistic Image

scholarly journals Light People: Professor Aydogan Ozcan

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Tingting Sun
Keyword(s):  
Deep Learning ◽  
Los Angeles ◽  
Learning Algorithm ◽  
Computational Imaging ◽  
Technological Innovations ◽  
Image Generation ◽  
Sensing Technology ◽  
Reconstruction Methods ◽  
New Ideas ◽  
The University

EditorialIn 2016, the news that Google’s artificial intelligence (AI) robot AlphaGo, based on the principle of deep learning, won the victory over lee Sedol, the former world Go champion and the famous 9th Dan competitor of Korea, caused a sensation in both fields of AI and Go, which brought epoch-making significance to the development of deep learning. Deep learning is a complex machine learning algorithm that uses multiple layers of artificial neural networks to automatically analyze signals or data. At present, deep learning has penetrated into our daily life, such as the applications of face recognition and speech recognition. Scientists have also made many remarkable achievements based on deep learning. Professor Aydogan Ozcan from the University of California, Los Angeles (UCLA) led his team to research deep learning algorithms, which provided new ideas for the exploring of optical computational imaging and sensing technology, and introduced image generation and reconstruction methods which brought major technological innovations to the development of related fields. Optical designs and devices are moving from being physically driven to being data-driven. We are much honored to have Aydogan Ozcan, Fellow of the National Academy of Inventors and Chancellor’s Professor of UCLA, to unscramble his latest scientific research results and foresight for the future development of related fields, and to share his journey of pursuing Optics, his indissoluble relationship with Light: Science & Applications (LSA), and his experience in talent cultivation.

Deep learning-based digital subtraction angiography image generation

2019 ◽  
Vol 14 (10) ◽  
pp. 1775-1784 ◽  
Author(s):  
Yufeng Gao ◽  
Yu Song ◽  
Xiangrui Yin ◽  
Weiwen Wu ◽  
Lu Zhang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Digital Subtraction Angiography ◽  
Image Generation ◽  
Digital Subtraction

Deep learning for whole-body medical image generation

2021 ◽  
Author(s):  
Joshua Schaefferkoetter ◽  
Jianhua Yan ◽  
Sangkyu Moon ◽  
Rosanna Chan ◽  
Claudia Ortega ◽  
...  
Keyword(s):  
Deep Learning ◽  
Medical Image ◽  
Whole Body ◽  
Image Generation
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