Kategoria General

Reconstructing Shader Inputs with SlangPY and PyTorch

Shaders define visual effects by transforming inputs into rendered outputs. But what if we could reverse that process—recover shader inputs directly from the final image? Or adjust parameters so that the output matches a given reference? With SlangPY and PyTorch,…

Training GPT-2 to win Connect Four game

I wanted to learn training GPT-2 as it is a powerful model. For simplicity, I chose Connect Four. This project serves as a basic example, with future plans for more complex applications. I published the code in my Github repo…

Fast comparison of Stable Zero123 and TripoSR

In the previous posts, I explored the results of Stable Zero 123, a tool that can generate 3D models from a single image. Recently, Tripo AI and Stability AI released TripoSR, an open-source model that claims to achieve state-of-the-art performance…

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,…