Published inBetter Programming·Updated May 12Member-onlyFrom Zero to Crowd: A Guide to 3D Crowd Generation using Stable-Diffusion and BlenderExploring automated 3D crowd generation methods, limitations, and potential improvements — This article provides an overview of the process for generating diverse and realistic 3D crowds. We will begin by examining the current simplest approach, as well as its limitations, and explore possible paths for improvement. The process is broken down into three steps: generating 2D images reconstructing 3D objectsStable Diffusion6 min readStable Diffusion6 min read
Published inBetter Programming·Aug 9, 2022Member-onlySynthetic Data Generation for Computer Vision in Blender(part 1) — What: This entry gives an introduction to synthetic-data-generation, and how you can use it via Blender to train performant and robust vision models. We’ll provide an overview of the Blender setup and, for demonstrative purposes, present a concrete visual classification scenario from the fashion domain. Why: to leverage Blender procedural…Machine Learning8 min readMachine Learning8 min read
Published inTowards Data Science·Mar 13, 2020Member-onlyStyleGAN v2: notes on training and latent space explorationWhat: in this entry I’m going to present notes, thoughts and experimental results I collected while training multiple StyleGAN models and exploring the learned latent space. Why: this is a dump of ideas/considerations that can range from the obvious to the “ holy moly”, meant to possibly provide insight —…AI14 min readAI14 min read
Published inTowards Data Science·Mar 4, 2020Member-onlyGenerating Fractals with Blender and Animation-NodesWhat: this is a collection of tutorials, examples and resources for generating fractals visuals using Blender. I’ll cover topics such as recursion, n-flakes, L-systems, Mandelbrot/Julia sets and derivations. Why: if you are fascinated by fractals patterns, interested in procedural generation in Blender and want to get a better understanding and…Blender10 min readBlender10 min read
Published inTowards Data Science·Feb 4, 2019Member-onlyBlender 2.8 Grease Pencil Scripting and Generative ArtWhat: learning the basics of scripting for Blender Grease-Pencil tool, with focus on generative art as a concrete playground. Less talking, more code (commented) and many examples. Why: mostly because we can. Also because Blender is a very rich ecosystem, and Grease-Pencil in version 2.8 is a powerful and versatile…Python8 min readPython8 min read
Published inTowards Data Science·Jan 30, 2018Practical Text Generation with Tensorflow ServingIn this entry, I am going to talk about deep learning models exposure and serving via Tensorflow, while showcasing my setup for a flexible and practical text generation solution. With text generation I intend the automated task of generating new semantically valid pieces of text of variable length, given an…Machine Learning9 min readMachine Learning9 min read
Published inTowards Data Science·Sep 27, 2017Member-onlyInteractive Visualizations In Jupyter NotebookThis entry is a non-exhaustive introduction on how to create interactive content directly from your Jupyter notebook. …Data Science8 min readData Science8 min read
Published inTowards Data Science·Jul 8, 2017Conway’s Game Of Life in BlenderGame Of Life (GOL) is possibly one of the most notorious examples of a cellular automata. Defined by mathematician John Horton Conway, it plays out on a two dimensional grid for which each cell can be in one of two possible states. Starting from an initial grid configuration the system…Blender3 min readBlender3 min read
May 2, 2017Member-onlyOn The Future of Life Logging — A Speculative ViewThis is a light and speculative entry where I brainstorm personal ideas about the future of lifelogging (imminent or sci-fi future, depending on your optimism level). I will focus mainly on the practical aspects of such activity, while largely ignoring ethical, moral and psychological issues. …Quantified Self10 min readQuantified Self10 min read
Published inTowards Data Science·Mar 29, 2017Personality for Your Chatbot with Recurrent Neural NetworksIn a previous short entry, I gave an introduction to chatbots: their current high popularity, some platform options and basic design suggestions. In this post, I am going instead to illustrate what I believe is a more intriguing scenario: a deep-learning-based solution for the construction of a chatbot off-topic behavior…Machine Learning9 min readMachine Learning9 min read
