Unity Gлагин рендеринга GAN. Генерация семантических карт из 3D-сцен в режиме реального времени, использование их в качестве входных данных для моделей синтеза семантических изображений, таких как SPADE, pix2pixHD и т. Д.
https://twitter.com/agermanidis/status/1156362857824563205?s=20
https://twitter.com/agermanidis/status/1156362857824563205?s=20
Twitter
Anastasis Germanidis
Working on a @unity3d <> @runwayml GAN rendering plugin. Generate semantic maps from 3D scenes in real-time, use them as input to semantic image synthesis models like SPADE, pix2pixHD, etc. https://t.co/Jw3ivwGwVk
18 советов по обучению ваших собственных моделей Tensorflow.js в браузере
https://itnext.io/18-tips-for-training-your-own-tensorflow-js-models-in-the-browser-3e40141c9091
https://itnext.io/18-tips-for-training-your-own-tensorflow-js-models-in-the-browser-3e40141c9091
Medium
18 Tips for Training your own Tensorflow.js Models in the Browser
Training efficient Image Classifiers and Object Detectors for the Web with Tensorflow.js
9 Books on Generative Adversarial Networks (GANs)
https://machinelearningmastery.com/books-on-generative-adversarial-networks-gans/
https://machinelearningmastery.com/books-on-generative-adversarial-networks-gans/
MachineLearningMastery.com
9 Books on Generative Adversarial Networks (GANs) - MachineLearningMastery.com
Generative Adversarial Networks, or GANs for short, were first described in the 2014 paper by Ian Goodfellow, et al. titled
Обработка изображений с использованием Numpy и Scipy
https://scipy-lectures.org/advanced/image_processing/
https://scipy-lectures.org/advanced/image_processing/