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Aryamaan Jain

Postdoc at École Polytechnique

About Me

I am a postdoctoral researcher in the VISTA team at LIX, École Polytechnique, where I work with Marie-Paule Cani on deep reinforcement learning for prehistoric mobility. My research lies at the intersection of computer graphics and artificial intelligence. I completed my PhD in computer science with the GraphDeco group at Inria, Université Côte d'Azur, where I was advised by Guillaume Cordonnier and worked on physically guided generation of digital terrains. Before that, I graduated from IIIT Hyderabad with an integrated bachelor's and master's degree in computer science and engineering.

Publications

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Physically Guided Generation of Digital Terrains

Aryamaan Jain (Advised by Guillaume Cordonnier)

PhD Thesis, Inria / Université Côte d'Azur, 2026

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Pixels2Peaks: Converting Terrain Images to Heightmaps

Aryamaan Jain, James Gain, Guillaume Cordonnier

SIGGRAPH 2026 (ACM Transactions on Graphics)

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Arenite: A Physics-based Sandstone Simulator

Zhanyu Yang, Aryamaan Jain, Guillaume Cordonnier, Marie-Paule Cani, Zhaopeng Wang, Bedrich Benes

SIGGRAPH 2025 (ACM Transactions on Graphics)

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FastFlow: GPU Acceleration of Flow and Depression Routing for Landscape Simulation

Aryamaan Jain, Bernhard Kerbl, James Gain, Brandon Finley, Guillaume Cordonnier

Pacific Graphics 2024 (Computer Graphics Forum) 🏆 Best Paper Award

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Efficient Debris-flow Simulation for Steep Terrain Erosion

Aryamaan Jain, Bedrich Benes, Guillaume Cordonnier

SIGGRAPH 2024 (ACM Transactions on Graphics)

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Learning Based Infinite Terrain Generation with Level of Detailing

Aryamaan Jain, Avinash Sharma, KS Rajan

3DV 2024

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Adaptive & Multi-Resolution Procedural Infinite Terrain Generation with Diffusion Models and Perlin Noise

Aryamaan Jain, Avinash Sharma, KS Rajan

ICVGIP 2022

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Deep Generative Framework for Interactive 3D Terrain Authoring and Manipulation

Shanthika Naik, Aryamaan Jain, Avinash Sharma, KS Rajan

IGARSS 2022

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Fast and efficient ResNN and Genetic optimization for PVT aware performance enhancement in digital circuits

Kushagra Agarwal*, Aryamaan Jain*, Deepthi Amuru, Zia Abbas (* Equal Contribution)

VLSI-DAT 2022 🏆 Best Paper Nomination

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Automated tree generation using grammar & particle system

Aryamaan Jain, Jyoti Sunkara, Ishaan Shah, Avinash Sharma, KS Rajan

ICVGIP 2021