David Levin
Associate Professor
Studies physics-based animation, numerical methods for graphics and computational fabrication.
David Levin's lab at Toronto works on physics-based simulation & animation and geometry processing & modeling. 23 papers since 2023, 16 at top venues, mostly SIGGRAPH and TOG. 7 PhD students. 6 alumni, most often to NVIDIA and Sound Hound AI. Applications close .
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 70%
- PhD students
- 7
- MS students
- 0
- alumni listed
- 6
Papers by yearfrom the lab homepage, 2023–2026
- 8 papers2026 · T1 4 · collecting
- 7 papers2025 · T1 4
- 5 papers2024 · T1 5
- 3 papers2023 · T1 3
T1 venuesOtherVenues: SIGGRAPH, TOG, SIGGRAPH Asia, 3DV, CVPR
Research focuspaper titles that use each topic's words
- Physics-based simulation & animation4 papers
- Geometry processing & modeling2 papers
- studies physics-based0 papers
- computational fabrication0 papers
- numerical methods0 papers
Paper list
From the lab homepage.
20268 papers
- ICML (T1)Adaptive Volumetric Mechanical Property Fields Invariant to Resolution (opens in a new tab)
- EurographicsDifferentiable Variable Fonts (opens in a new tab)
- SIGGRAPH (T1)Fast Modal Dynamics for Hairy and Scaly Surfaces on the GPU (opens in a new tab)
- Symposium on Computer AnimationFluid Control with Localized Spacetime Windows (opens in a new tab)
- CVPR (T1)FreeForm: Reduced-Order Deformable Simulation from Particle-Based Skinning Eigenmodes (opens in a new tab)
- Graphics InterfaceSolving Partial Differential Equations via Learned Multigrid Smoothing (opens in a new tab)
- Graphics InterfaceSpringTime: Learning Simulatable Models of Cloth with Spatially-varying Constitutive Properties (opens in a new tab)
- ICLR (T1)VoMP: Predicting Volumetric Mechanical Property Fields (opens in a new tab)
20257 papers
- IEEE Trans. Vis. Comput. Graph.A Differentiable Material Point Method Framework for Shape Morphing
- TOG (T1)Adaptive Algebraic Reuse of Reordering in Cholesky Factorizations with Dynamic Sparsity Patterns
- TOG (T1)Local Surface Parameterizations via Smoothed Geodesic Splines (opens in a new tab)
- SIGGRAPH (T1)Neurally Integrated Finite Elements for Differentiable Elasticity on Evolving Domains (opens in a new tab)
- SIGGRAPH WorkshopReduced-Order Modeling for Physical Simulation: From the Classical to the Neural
- 3DVRigid Body Adversarial Attacks
- SIGGRAPH (T1)Stochastic Barnes-Hut Approximation for Fast Summation on the GPU (opens in a new tab)
20245 papers
- SIGGRAPH (T1)Fluid Control with Laplacian Eigenfunctions (opens in a new tab)
- TOG (T1)Simplicits: Mesh-Free, Geometry-Agnostic Elastic Simulation (opens in a new tab)
- SIGGRAPH (T1)Stabler Neo-Hookean Simulation: Absolute Eigenvalue Filtering for Projected Newton
- TOG (T1)Trading Spaces: Adaptive Subspace Time Integration for Contacting Elastodynamics
- SIGGRAPH Asia (T1)Trust-Region Eigenvalue Filtering for Projected Newton
20233 papers
Where alumni went6 listed, 100% to industry
Industry 2Academia 0
Most often to
- NVIDIA
- Sound Hound AI
Apply to TorontoFall 2027
Computer Science MSc/PhD
- Round
- Single round (Dec 1)
- Opens
- —
- GRE
- optional
- English
- TOEFL/IELTS if applicable
- Fee
- CAD 135
Confirmed on the program page.
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Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
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