Head of AI at Haxion
Andrés Romero
Building synthetic data platforms and interactive 3D scene reconstruction. Previously postdoc at ETH Zurich under Luc Van Gool and Radu Timofte.
Diffusion models · 3D reconstruction · Gaussian Splatting · GANs · Computational photography
I am a machine learning and computer vision expert with over 9 years of experience, currently serving as Head of AI at Haxion, where I lead the development of cutting-edge generative AI products. I specialize in Diffusion Models, Large Language Models, and Neural Rendering, with proven expertise in 3D human avatars, computational photography, and synthetic data generation.
At Haxion, I direct a team of 9 engineers developing two products: a controllable image/video generation platform using advanced diffusion models that provides users with precise creative control, and a camera-based 3D editing system that enables natural language interaction with 3D scenes through point clouds and Gaussian splatting technology.
My research background includes pioneering work in facial expression generation using GANs during my PhD, followed by postdoctoral research at ETH Zürich focusing on image synthesis and video editing. I have successfully bridged academic research with practical applications, contributing to open-source projects and organizing major computer vision challenges at top-tier conferences.
Featured Projects
View all →trajviz
Fast 3D camera trajectory video renderer using NumPy + OpenCV → ffmpeg. Visualize camera paths in 3D space. Published on PyPI.
DiffLogTest
Reproducible unittest framework for team environments — compares outputs across machines. Published on PyPI.
Diffusion Models Tutorial
Toy diffusion model on MNIST with Classifier-Free Guidance and SDS inpainting. Educational resource.
PixelCache
Seamless image data transfer between NumPy, PyTorch, and Pillow. Published on PyPI.