Arman Maesumi

According to our database, Arman Maesumi authored at least 7 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Matérn Noise for Triangulation-Agnostic Flow Matching on Meshes.

Tianshu Kuai, Arman Maesumi, Daniel Ritchie, Noam Aigerman

CoRR, May, 2026

2025

PoissonNet: A Local-Global Approach for Learning on Surfaces.

Arman Maesumi, Tanish Makadia, Thibault Groueix, Vladimir G. Kim, Daniel Ritchie, Noam Aigerman

ACM Trans. Graph., December, 2025

2024

One Noise to Rule Them All: Learning a Unified Model of Spatially-Varying Noise Patterns.

Arman Maesumi, Dylan Hu, Krishi Saripalli, Vladimir G. Kim, Matthew Fisher, Sören Pirk, Daniel Ritchie

ACM Trans. Graph., July, 2024

2023

Explorable Mesh Deformation Subspaces from Unstructured Generative Models.

Arman Maesumi, Paul Guerrero, Vladimir G. Kim, Matthew Fisher, Siddhartha Chaudhuri, Noam Aigerman, Daniel Ritchie

CoRR, 2023

Explorable Mesh Deformation Subspaces from Unstructured 3D Generative Models.

Arman Maesumi, Paul Guerrero, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Siddhartha Chaudhuri, Daniel Ritchie

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

2021

Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors.

Arman Maesumi, Mingkang Zhu, Yi Wang, Tianlong Chen, Zhangyang Wang, Chandrajit Bajaj

CoRR, 2021

2020

Playing Chess with Limited Look Ahead.

Arman Maesumi

CoRR, 2020