2024
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models.
CoRR, 2024
D-Flow: Differentiating through Flows for Controlled Generation.
CoRR, 2024
2023
Mosaic-SDF for 3D Generative Models.
CoRR, 2023
Guided Flows for Generative Modeling and Decision Making.
CoRR, 2023
Bespoke Solvers for Generative Flow Models.
CoRR, 2023
Generalized Schrödinger Bridge Matching.
CoRR, 2023
On Kinetic Optimal Probability Paths for Generative Models.
CoRR, 2023
Riemannian Flow Matching on General Geometries.
CoRR, 2023
On Kinetic Optimal Probability Paths for Generative Models.
Proceedings of the International Conference on Machine Learning, 2023
Equivariant Polynomials for Graph Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023
Multisample Flow Matching: Straightening Flows with Minibatch Couplings.
Proceedings of the International Conference on Machine Learning, 2023
MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation.
Proceedings of the International Conference on Machine Learning, 2023
Flow Matching for Generative Modeling.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Flow Matching for Generative Modeling.
CoRR, 2022
Neural Conservation Laws: A Divergence-Free Perspective.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Matching Normalizing Flows and Probability Paths on Manifolds.
Proceedings of the International Conference on Machine Learning, 2022
Frame Averaging for Invariant and Equivariant Network Design.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Frame Averaging for Equivariant Shape Space Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Weisfeiler and Leman go Machine Learning: The Story so far.
CoRR, 2021
Augmenting Implicit Neural Shape Representations with Explicit Deformation Fields.
CoRR, 2021
Volume Rendering of Neural Implicit Surfaces.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Moser Flow: Divergence-based Generative Modeling on Manifolds.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Phase Transitions, Distance Functions, and Implicit Neural Representations.
Proceedings of the 38th International Conference on Machine Learning, 2021
Riemannian Convex Potential Maps.
Proceedings of the 38th International Conference on Machine Learning, 2021
SALD: Sign Agnostic Learning with Derivatives.
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
From Graph Low-Rank Global Attention to 2-FWL Approximation.
CoRR, 2020
SAL++: Sign Agnostic Learning with Derivatives.
CoRR, 2020
Universal Differentiable Renderer for Implicit Neural Representations.
CoRR, 2020
Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Set2Graph: Learning Graphs From Sets.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Implicit Geometric Regularization for Learning Shapes.
Proceedings of the 37th International Conference on Machine Learning, 2020
On Universal Equivariant Set Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020
SAL: Sign Agnostic Learning of Shapes From Raw Data.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Sinkhorn Algorithm for Lifted Assignment Problems.
SIAM J. Imaging Sci., 2019
Provably Powerful Graph Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Controlling Neural Level Sets.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
On the Universality of Invariant Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019
Invariant and Equivariant Graph Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019
Surface Networks via General Covers.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
2018
Robust optimization for topological surface reconstruction.
ACM Trans. Graph., 2018
Multi-chart generative surface modeling.
ACM Trans. Graph., 2018
Point convolutional neural networks by extension operators.
ACM Trans. Graph., 2018
Photometric Stereo by Hemispherical Metric Embedding.
J. Math. Imaging Vis., 2018
(Probably) Concave Graph Matching.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
2017
Geometric optimization via composite majorization.
ACM Trans. Graph., 2017
Convolutional neural networks on surfaces via seamless toric covers.
ACM Trans. Graph., 2017
DS++: a flexible, scalable and provably tight relaxation for matching problems.
ACM Trans. Graph., 2017
Spherical orbifold tutte embeddings.
ACM Trans. Graph., 2017
Exact Recovery with Symmetries for Procrustes Matching.
SIAM J. Optim., 2017
A Linear Variational Principle for Riemann Mapping and Discrete Conformality.
CoRR, 2017
2016
Point registration via efficient convex relaxation.
ACM Trans. Graph., 2016
Accelerated quadratic proxy for geometric optimization.
ACM Trans. Graph., 2016
Hyperbolic orbifold tutte embeddings.
ACM Trans. Graph., 2016
2015
Large-scale bounded distortion mappings.
ACM Trans. Graph., 2015
Seamless surface mappings.
ACM Trans. Graph., 2015
Orbifold Tutte embeddings.
ACM Trans. Graph., 2015
Tight Relaxation of Quadratic Matching.
Comput. Graph. Forum, 2015
Homotopic Morphing of Planar Curves.
Comput. Graph. Forum, 2015
Wide Baseline Stereo Matching with Convex Bounded Distortion Constraints.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
2014
Provably good planar mappings.
ACM Trans. Graph., 2014
Feature Matching with Bounded Distortion.
ACM Trans. Graph., 2014
Controlling singular values with semidefinite programming.
ACM Trans. Graph., 2014
Lifted bijections for low distortion surface mappings.
ACM Trans. Graph., 2014
Bijective Mappings of Meshes with Boundary and the Degree in Mesh Processing.
SIAM J. Imaging Sci., 2014
2013
Injective and bounded distortion mappings in 3D.
ACM Trans. Graph., 2013
Conformal Wasserstein distance: II. computational aspects and extensions.
Math. Comput., 2013
Approximation of Polyhedral Surface Uniformization
CoRR, 2013
Construction of Injective Mappings Of Meshes.
CoRR, 2013
2012
Sensor network localization by eigenvector synchronization over the euclidean group.
ACM Trans. Sens. Networks, 2012
Fields on symmetric surfaces.
ACM Trans. Graph., 2012
Simple formulas for quasiconformal plane deformations.
ACM Trans. Graph., 2012
Bounded distortion mapping spaces for triangular meshes.
ACM Trans. Graph., 2012
Symmetry-guided texture synthesis and manipulation.
ACM Trans. Graph., 2012
2011
Algorithms to automatically quantify the geometric similarity of anatomical surfaces
CoRR, 2011
2010
Symmetry factored embedding and distance.
ACM Trans. Graph., 2010
Möbius Transformations For Global Intrinsic Symmetry Analysis.
Comput. Graph. Forum, 2010
2009
Möbius voting for surface correspondence.
ACM Trans. Graph., 2009
Coordinates for instant image cloning.
ACM Trans. Graph., 2009
Stable Moving Least-Squares.
J. Approx. Theory, 2009
Interior Distance Using Barycentric Coordinates.
Comput. Graph. Forum, 2009
2008
On representation, deformation and approximation of discrete surfaces
PhD thesis, 2008
2007
Volume and shape preservation via moving frame manipulation.
ACM Trans. Graph., 2007
Parameterization-free projection for geometry reconstruction.
ACM Trans. Graph., 2007
Context-Aware Skeletal Shape Deformation.
Comput. Graph. Forum, 2007
GPU-assisted positive mean value coordinates for mesh deformations.
Proceedings of the Fifth Eurographics Symposium on Geometry Processing, Barcelona, 2007
Data-dependent MLS for faithful surface approximation.
Proceedings of the Fifth Eurographics Symposium on Geometry Processing, Barcelona, 2007
2006
Error bounds and optimal neighborhoods for MLS approximation.
Proceedings of the Fourth Eurographics Symposium on Geometry Processing, Cagliari, 2006
2005
Linear rotation-invariant coordinates for meshes.
ACM Trans. Graph., 2005
Laplacian Framework for Interactive Mesh Editing.
Int. J. Shape Model., 2005
2004
Differential Coordinates for Interactive Mesh Editing.
Proceedings of the 2004 International Conference on Shape Modeling and Applications (SMI 2004), 2004
Laplacian Surface Editing.
Proceedings of the Second Eurographics Symposium on Geometry Processing, 2004
