Kategoria General

3D content creation from text prompts

Introduction Text-to-3D generation is an exciting and challenging task that aims to synthesize realistic and diverse 3D objects from natural language descriptions. Recently, there have been many advances in this field, thanks to the development of powerful text-to-image models, neural…

3D objects recognition by DNN and CNN

Simple Deep neural networks and Convolutional Neural Networks used to recognize deformed 3D objects generated with Houdini. Sources Details Few different representations of objects ware gathered to determinate which will work the best: Visualisation of filters To understand networks a…

Paper plane flight simulation by RNN

 In Browser demo Simple physics simulation: Recurrent Neural Network predicts a flight of a plane and takes a blowing wind int an account. There are 3 versions of the network that predict: a position of a plane (1 point) a…