3D-to-4D Gaussian Scene Generation with Text-guided Diffusion
Thesis Commons / OSF Pre-Print 2025
Hi, I'm Neil.
I'm an MSc Data Science student at ETH Zürich and a Research Intern in the PRS Lab under the supervision of Konrad Schindler, where I work on Point Cloud encoders and knowledge distillation.
I hold a BSc in Artificial Intelligence from the Universitat Autònoma de Barcelona, and I spent my final year at the Technical University of Munich as a student researcher in the Computer Vision Group, under the supervision of Daniel Cremers.
I build and study machine learning and computer vision systems from a research perspective, with a current focus on 3D asset generation, 3D foundation models, and the geometry of deep representations.
I am also a Rafael del Pino Excellence Fellow.
News
Sep 2025
Started MSc Data Science at ETH Zürich.
Sep 2025
Joined the PRS Lab as a Research Intern under Konrad
Schindler.
Aug 2025
Awarded the Rafael del Pino Excellence Fellowship.
Jul 2025
Completed my BSc thesis at TUM Vision Group under Daniel
Cremers.
May 2025
Paper on Hypernetworks accepted to CVPR LatinX in CV.
Research
My work focuses on deep learning, computer vision, and geometric representations.
GuideX: Guided Synthetic Data Generation for Zero-Shot Information Extraction
ACL Findings 2025
Foundations and Models in Modern Computer Vision: Key Building Blocks in Landmark Architectures
arXiv preprint arXiv:2507.23357
Enhancing image classification in small and unbalanced datasets through synthetic data augmentation
MICCAI '24 (Clinical Image-Based Procedures)
A complete benchmark for polyp detection, segmentation and classification in colonoscopy images
Frontiers in oncology 14, 1417862 (2024)
Game Theory and Multi-Agent Reinforcement Learning: From Nash Equilibria to Evolutionary Dynamics
arXiv preprint arXiv:2412.20523
Blog
Short-form notes on 3D, deep learning, and representation learning.
Losing Tickets in Neural Representations
Applying the Lottery Ticket Hypothesis to SIRENs. Exploring frequency carrier destruction and how high-magnitude weights act as the primary oscillators of Fourier decomposition.
Temporal Coherence in Dynamic Gaussians
Reflecting on recent experiments at ETH Zürich regarding motion-aware priors for 4D reconstruction.
Pi5 Podcast
Pi5 is an introductory and fun podcast that explains mathematics clearly in just 5 minutes. It's designed for everyone to enjoy, from total beginners to curiosity-driven learners. No dense jargon. Just interesting ideas explained simply.
Listen on Spotify ↗