I'm a PhD student at SFU GrUVi lab working in the intersection of fields of computer vision and graphics. My current research focuses on better geometry in Gaussian Splatting — creating a useful 3D representation of the world. Also passionate about art and architecture.
Education
Simon Fraser University
Ph.D. in Computer Science
Advisor: Prof. Andrea Tagliasacchi
Skolkovo Institute of Science and Technology
M.S. in Mathematics and Computer Science
Thesis: Learning to Approximate Directional Fields Defined over 2D Planes
National Research University Higher School of Economics
B.S. in Economics (Minor in Data Science)
Publications
NeurIPS 2025
3D Gaussian Flats: Hybrid 2D/3D Photometric Scene Reconstruction
Maria Taktasheva, Lily Goli, Alessandro Fiorini, Zhen (Colin) Li, Daniel Rebain, Andrea Tagliasacchi
3D Gaussian Splatting with planar constraints for improved scene reconstruction. Enables high-quality rendering and meshing of 3D scenes.
ECCV 2020
Deep Vectorization of Technical Drawings
Vage Egiazarian, Oleg Voynov, Alexey Artemov, Denis Volkhonskiy, Aleksandr Safin, Maria Taktasheva, Denis Zorin, Evgeny Burnaev
Using deep learning to vectorize technical line drawings, such as floor plans, architectural drawings, and 2D CAD images.