M. Fisher

Papers

Total Citations

H-Index

About

M. Fisher is a leading researcher in computer graphics and 3D computer vision, with a focus on shape understanding, representation, and generation. Their work bridges the gap between geometric modeling and machine learning, particularly in the area of unsupervised 3D shape reconstruction. Fisher’s major contribution lies in developing methods that decompose complex 3D shapes into meaningful, reusable parts—enabling tasks like structural editing, stylization, and robotic manipulation. Their 2023 paper, "Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly," has garnered 11 citations and introduces a novel approach that retrieves and assembles parts from a learned library without requiring part-level supervision. This work advances the field by moving beyond simple parametric primitives or generative shape spaces, offering a more flexible and interpretable representation. Fisher’s research has significant implications for interactive design tools, virtual reality, and autonomous systems, and their innovative methods continue to shape how 3D content is created and understood.