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Paper on Face Restoration with Diffusion Model
Tianshu Kuai, Sina Honari, Igor Gilitschenski, Alex Levinshtein
Under Review
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CAMM: Building Category-Agnostic and Animatable 3D Models from Monocular Videos
Tianshu Kuai, Akash Karthikeyan, Yash Kant, Ashkan Mirzaei, Igor Gilitschenski
CVPRW 2023
project page / paper / arXiv / code / data
A novel pipeline for building 3D animatable models for articulated and deformable objects from monocular videos without any shape prior or template.
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Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss
Anas Mahmoud, Jordan S.K. Hu, Tianshu Kuai, Ali Harakeh, Liam Paull, Steven L. Waslander
CVPR 2023
paper / arXiv
A self-supervised 2D-to-3D representation learning framework for LiDAR semantic segmentation in autonomous driving.
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PhD in Computer Science
Université de Montréal & Mila
Sep 2024 - 2029
Supervisor: Noam Aigerman
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MSc in Applied Computing (MScAC), AI Concentration
Department of Computer Science, University of Toronto
Sep 2022 - Dec 2023
Supervisor: Igor Gilitschenski
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BASc in Engineering Science, Robotics
Faculty of Applied Science and Engineering, University of Toronto
Sep 2017 - Apr 2022
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Research Intern
Samsung AI Center Toronto
May 2023 - April 2024 | Toronto, ON
Research on diffusion model based real-world image restoration and enhancement.
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Machine Learning Research Intern
Qualcomm
May 2020 - May 2021 | Toronto, ON
Research on deep learning based models for audio signal processing and state-of-the-art methods for neural network compression, and contributed to NPU software compiler pipeline development.
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- Reviewer: CVPR 2023, ECCV 2024, WACV (2024, 2025)
- I am involved in maintaining a curated list of papers in NeRF Editing at awesome-nerf-editing. We welcome contributions to continue expanding and improving this collection.
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