Tamy Boubekeur

Lab Director & Senior Principal Research Scientist


Tamy is a researcher in computer science, specialized in 3D computer graphics. He is currently a Lab Director and Senior Principal Research Scientist at Adobe Research, as well as a Professor at the Computer Science Department of Ecole Polytechnique, Institut Polytechnique de Paris. He is also a Professor (on leave) at Telecom Paris, Institut Polytechnique de Paris. He was previously the founder and head of the Computer Graphics Group at Telecom Paris and chief scientist at Allegorithmic. He was also an Associate Researcher at TU Berlin and a PhD student at INRIA. His lab at large works on 3D visual computing. His personal research areas focus on 3D Computer Graphics, with a special interest in Modeling, Rendering and Learning efficiently 3D data.

More information (including publications) can be found on his personal website.



N-BVH: Neural ray queries with bounding volume hierarchies

Weier, P., Rath, A., Michel, ., Georgiev, I., Slusallek, P., Boubekeur, T. (Jul. 29, 2024)


RMIP: Displacement ray tracing via inversion and oblong bounding

Thonat, T., Georgiev, I., Beaune, F., Boubekeur, T. (Dec. 12, 2023)

SIGGRAPH Asia 2023

Making a Digital Double of Alan Shepard’s Space Suit

ROUFFET, R., Dattoria, M., Cope, J., Blundell, J., Rossi, V., Boubekeur, T. (Aug. 6, 2023)

SIGGRAPH 2023 Talk

Variational Shape Reconstruction via Quadric Error Metrics

Zhao, T., Buse, L., Cohen-Steiner, D., Boubekeur, T., Thiery, J., Alliez, P. (Aug. 6, 2023)


The Visual Language of Fabrics

Deschaintre, V., Guerrero-Viu, J., Gutierrez, D., Boubekeur, T., Masia, B. (Aug. 1, 2023)

Siggraph 2023

MesoGen: Designing Procedural On-surface Stranded Mesostructures

Michel, ., Boubekeur, T. (Jul. 23, 2023)


MIPNet: Neural Normal-to-Anisotropic-Roughness MIP Mapping

Gauthier, A., Faury, R., Levallois, J., Thonat, T., Thiery, J., Boubekeur, T. (Dec. 6, 2022)

ACM Transactions on Graphics (Proc. SIGGRAPH Asia 2022)

Green Coordinates for Triquad Cages in 3D

Thiery, J., Boubekeur, T. (Dec. 6, 2022)

SIGGRAPH Asia 2022

Moving Level-of-Detail Surfaces

Mercier, C., Lescoat, T., Roussillon, P., Boubekeur, T., Thiery, J. (Aug. 8, 2022)

ACM Transactions on Graphics (Proc. SIGGRAPH 2022)

MatFormer: A Generative Model for Procedural Materials

Guerrero, P., Hašan, M., Sunkavalli, K., Měch, R., Boubekeur, T., Mitra, N. (Aug. 8, 2022)

ACM Transactions on Graphics (Proc. SIGGRAPH 2022)

MaterIA: Single Image High-Resolution Material Capture in the Wild

Martin, R., Roullier, A., ROUFFET, R., Kaiser, A., Boubekeur, T. (Apr. 25, 2022)


Fiblets for Real-Time Rendering of Massive Brain Tractograms

Schertzer, J., Mercier, C., Rousseau, S., Boubekeur, T. (Apr. 24, 2022)


Tessellation-Free Displacement Mapping for Ray Tracing

Thonat, T., Beaune, F., Sun, X., Carr, N., Boubekeur, T. (Dec. 14, 2021)

ACM Transactions on Graphics (SIGGRAPH Asia 2021)

CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point Clouds

Lê, E., Sung, M., Ceylan, D., Měch, R., Boubekeur, T., Mitra, N. (Oct. 11, 2021)

ICCV 2021

Progressive Discrete Domains for Implicit Surface Reconstruction

Zhao, T., Alliez, P., Boubekeur, T., Busé, L., Thiery, J. (Aug. 23, 2021)

SGP 2021

DAG Amendment for Inverse Control of Parametric Shapes

Michel, E., Boubekeur, T. (Jul. 19, 2021)


MatMorpher: A Morphing Operator for SVBRDFs

Gauthier, A., Thiery, J., Boubekeur, T. (Jun. 29, 2021)

EGSR 2021

MATch: Differentiable Material Graphs for Procedural Material Capture

Shi, L., Li, B., Hasan, M., Sunkavalli, K., Boubekeur, T., Měch, R., Matusik, W. (Nov. 26, 2020)

SIGGRAPH Asia 2020

Real Time Multiscale Rendering of Dense Dynamic Stackings

Michel, E., Boubekeur, T. (Nov. 24, 2020)

Pacific Graphics 2020

Spectral Mesh Simplification

Lescoat, T., Liu, H., Thiery, J., Jacobson, A., Boubekeur, T., Ovsjanikov, M. (Jul. 13, 2020)


Learning Generative Models of Shape Handles

Gadelha, M., Gori, G., Ceylan, D., Měch, R., Carr, N., Boubekeur, T., Wang, R., Maji, S. (Jun. 16, 2020)

IEEE Conference on Computer Vision and Pattern Recognition (CVPR)