Noam Aigerman

Research Scientist

San Francisco

Noam is a research scientist at Adobe, focusing mainly on geometry-related problems. He obtained his Ph.D. in 2017 from the Weizmann Institute of Science, under the supervision of Prof. Yaron Lipman.

His research interests include geometry processing, numerical optimization, computer graphics and deep learning.

For more information about him and his work, please visit his personal webpage.


Neural Jacobian Fields: Learning Intrinsic Mappings of Arbitrary Meshes

Aigerman, N., Gupta, K., Kim, V., Chaudhuri, S., Saito, J., Groueix, T. (Aug. 8, 2022)


GLASS: Geometric Latent Augmentation for Shape Spaces

Muralikrishnan, S., Chaudhuri, S., Aigerman, N., Kim, V., Fisher, M., Mitra, N. (Jun. 19, 2022)


Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases

Bednarik, J., Kim, V., Chaudhuri, S., Parashar, S., Salzmann, M., Fua, P., Aigerman, N. (Oct. 11, 2021)


Optimizing Global Injectivity for Constrained Parameterization

Du, X., Kaufman, D., Zhou, Q., Kovalsky, S., Yan, Y., Aigerman, N., Ju, T. (Aug. 1, 2021)

ACM Transactions on Graphics (SIGGRAPH 2021)

Joint Learning of 3D Shape Retrieval and Deformation

Uy, M., Kim, V., Sung, M., Aigerman, N., Chaudhuri, S., Guibas, L. (Jun. 19, 2021)


DECOR-GAN: 3D Shape Detailization by Conditional Refinement

Chen, Z., Kim, V., Fisher, M., Aigerman, N., Zhang, H., Chaudhuri, S. (Jun. 19, 2021)

CVPR (oral)

Lifting Simplices to Find Injectivity

Du, X., Aigerman, N., Zhou, Q., Kovalsky, S., Yan, Y., Kaufman, D., Ju, T. (Aug. 25, 2020)

ACM Transactions on Graphics (SIGGRAPH 2020)

Neural Subdivision

Liu, H., Kim, V., Chaudhuri, S., Aigerman, N., Jacobson, A. (Jul. 19, 2020)


Neural Cages for Detail-Preserving 3D Deformations

Wang, Y., Aigerman, N., Kim, V., Chaudhuri, S., Sorkine-Hornung, O. (Jun. 16, 2020)

CVPR (oral)