Publications
Here is some of the ongoing and published researched at DGP:
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Soloist: Generating Mixed-Initiative Tutorials from Existing Guitar Instructional Videos Through Audio Processing
Bryan Wang, Mengyu Yang, Tovi Grossman, University of Toronto. ACM CHI 2021 Soloist is a mixed-initiative learning framework that automatically generates customizable curriculums from off-the-shelf guitar video lessons. Soloist takes raw videos as input and leverages deep-learning based audio processing … read more
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EMU: Efficient Muscle Simulation in Deformation Space
EMU is an efficient and scalable model to simulate bulk musculoskeletal motion with heterogenous materials. First, EMU requires no model reductions, or geometric coarsening, thereby producing results visually accurate when compared to an FEM simulation. Second, EMU is efficient and … read more
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Complementary Dynamics
We present a novel approach to enrich arbitrary rig animations with elastodynamic secondary effects. Unlike previous methods which pit rig displacements and physical forces as adversaries against each other, we advocate that physics should complement artists’ intentions. We propose optimizing … read more
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Chordal Decomposition for Spectral Coarsening
HONGLIN CHEN, University of Toronto, Canada HSUEH-TI DEREK LIU, University of Toronto, Canada ALEC JACOBSON, University of Toronto, Canada DAVID I.W. LEVIN, University of Toronto, Canada Siggraph Asia 2020 We introduce a novel solver to significantly reduce the size of … read more
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Developability of Heightfields via Rank Minimization
Silvia Sellán Noam Aigerman Alec Jacobson SIGGRAPH 2020 A surface is called developable if it can be obtained by bending a planar surface without stretching it. Mathematically, this means it’s an isometry of the plane. A common alternative definition for … read more
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Interactive Exploration and Refinement of Facial Expression using Manifold Learning
Rinat Adbrashitov, Fanny Chevalier, Karan Singh, University of Toronto UIST 2020 Posing expressive 3D faces is extremely challenging. Typical facial rigs have upwards of 30 controllable parameters, that while anatomically meaningful, are hard to use due to redundancy of expression, … read more
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Neural Subdivision, a novel framework for data-driven coarse-to-fine geometry modeling
Hsueh-Ti Derek Liu, University of Toronto Vladimir G. Kim, Adobe Research Siddhartha Chaudhuri, Adobe Research & IIT Bombay Noam Aigerman, Adobe Research Alec Jacobson, University of Toronto & Adobe Research Siggraph 2020 During inference, our method takes a coarse triangle … read more
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Mandoline: Robust Cut-Cell Generation for Arbitrary Triangle Meshes
MICHAEL TAO, CHRISTOPHER BATTY, EUGENE FIUME, DAVID LEVIN SIGGRAPH Asia 2019 Although geometry arising “in the wild” most often comes in the form of a surface representation, a plethora of geometrical and physical applications require the construction of volumetric embeddings … read more
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Cubic Stylization
We present a 3D stylization algorithm that can turn an input shape into the style of a cube while maintaining the content of the original shape. The key insight is that cubic style sculptures can be captured by the … read more
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Volumetric Michell Trusses for Computational Design & Fabrication
We present the first algorithm for designing volumetric Michell Trusses. Our method uses a parametrization-based approach to generate trusses made of structural elements aligned with the primary direction of an object’s stress field. Such trusses exhibit high strength-to-weight ratio while … read more
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DataInk: Direct and Creative Data-Oriented Drawing
Creating whimsical, personal data visualizations remains a challenge due to a lack of tools that enable for creative visual expression while providing support to bind graphical content to data. Many data analysis and visualization creation tools target the quick generation … read more
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PAPARAZZI: Surface Editing by way of Multi-View Image Processing
The image processing pipeline boasts a wide variety of complex filters and effects. Translating an individual effect to operate on 3D surface geometry inevitably results in a bespoke algorithm. Instead, we propose a general-purpose back-end optimization that allows users … read more
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Designing Volumetric Truss Structures for Computational Fabrication
We present the first algorithm for designing volumetric Michell Trusses. Our method uses a parametrization approach to generate trusses made of structural elements aligned with the primary direction of an objects stress field. Such trusses exhibit high strength-to- weight ratio while also being aesthetically pleasing.
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Collision-Aware and Online Compression of Rigid Body Simulations via Integrated Error Minimization
From the Symposium on Computer Animation 2018: