Improving results of stable-zero123

In this post, I’m going to iterate on the promising results from my previous post. Let’s start with understanding the method better. How does it work? In short, the method is based on optimizing a neural field (NeRF) with randomly…

3D content creation from image

Introduction In this post, I will continue my previous exploration of 3D content generation methods available in threestudio, a powerful and versatile framework for 3D content creation. This time I’m exploring 3D object generation from a single image. For consistency,…

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…

Step-by-step disassembly of BMO (2016)

It’s a step-by-step disassembly of BMO – Adventure time character. It’s based on „Be more” (episode 28, season 5).Created in Modo, post production in NukeX. I’ve also created two still images. It was just a small fast project made in…

Step-by-step disassembly of BMO

It’s a step-by-step disassembly of BMO – Adventure time character. It’s based on „Be more” (episode 28, season 5). Created in Modo, post production in NukeX. I’ve also created two still images. It was just a small fast project made…