Zihao Wang, an assistant professor at University of Tennessee at Chattanooga, led a collaboration with the French Institute for Research in Computer Science and Automation to develop a new AI framework called the Langevin Variational Autoencoder (Langevin-VAE). This lightweight model addresses the long-standing challenge of building interpretable, high-quality 3D image models that separate shape from…
UTC’s Lightweight AI Breakthrough in 3D Image Modeling
Led by Assistant Professor Zihao Wang, UTC has developed a lightweight, interpretable AI model for generating high-fidelity 3D images, designed for efficiency in computation. Unlike traditional heavy AI systems, this model enables clearer user understanding of how outputs are derived and could be especially useful in sectors like virtual reality and medical imaging. It joins…