Yaron Lipman

142 papers A* 35B 4Journal 100Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Corrector Sampling in Language Models.
CoRR
Itai Gat, Neta Shaul, Uriel Singer, Yaron Lipman
2025 J jnl
Exploring the Design Space of Transition Matching.
CoRR
Uriel Singer, Yaron Lipman
2025 A* conf
Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective.
ICLR
Neta Shaul, Itai Gat, Marton Havasi, Daniel Severo, Anuroop Sriram, Peter Holderrieth, Brian Karrer, Yaron Lipman, Ricky T. Q. Chen
2025 J jnl
GLASS Flows: Transition Sampling for Alignment of Flow and Diffusion Models.
CoRR
Peter Holderrieth, Uriel Singer, Tommi S. Jaakkola, Ricky T. Q. Chen, Yaron Lipman, Brian Karrer
2025 A* conf
Generator Matching: Generative modeling with arbitrary Markov processes.
ICLR
Peter Holderrieth, Marton Havasi, Jason Yim, Neta Shaul, Itai Gat, Tommi S. Jaakkola, Brian Karrer, Ricky T. Q. Chen, Yaron Lipman
2025 J jnl
Set Block Decoding is a Language Model Inference Accelerator.
CoRR
Itai Gat, Heli Ben-Hamu, Marton Havasi, Daniel Haziza, Jeremy Reizenstein, Gabriel Synnaeve, David Lopez-Paz, Brian Karrer, Yaron Lipman
2025 J jnl
Space Group Conditional Flow Matching.
CoRR
Omri Puny, Yaron Lipman, Benjamin Kurt Miller
2025 J jnl
Transition Matching: Scalable and Flexible Generative Modeling.
CoRR
Neta Shaul, Uriel Singer, Itai Gat, Yaron Lipman
2024 A* conf
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models.
ICML
Neta Shaul, Uriel Singer, Ricky T. Q. Chen, Matthew Le, Ali K. Thabet, Albert Pumarola, Yaron Lipman
2024 J jnl
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models.
CoRR
Neta Shaul, Uriel Singer, Ricky T. Q. Chen, Matthew Le, Ali K. Thabet, Albert Pumarola, Yaron Lipman
2024 A* conf
Bespoke Solvers for Generative Flow Models.
ICLR
Neta Shaul, Juan C. Pérez, Ricky T. Q. Chen, Ali K. Thabet, Albert Pumarola, Yaron Lipman
2024 A* conf
D-Flow: Differentiating through Flows for Controlled Generation.
ICML
Heli Ben-Hamu, Omri Puny, Itai Gat, Brian Karrer, Uriel Singer, Yaron Lipman
2024 J jnl
D-Flow: Differentiating through Flows for Controlled Generation.
CoRR
Heli Ben-Hamu, Omri Puny, Itai Gat, Brian Karrer, Uriel Singer, Yaron Lipman
2024 A* conf
Discrete Flow Matching.
NeurIPS
Itai Gat, Tal Remez, Neta Shaul, Felix Kreuk, Ricky T. Q. Chen, Gabriel Synnaeve, Yossi Adi, Yaron Lipman
2024 J jnl
Discrete Flow Matching.
CoRR
Itai Gat, Tal Remez, Neta Shaul, Felix Kreuk, Ricky T. Q. Chen, Gabriel Synnaeve, Yossi Adi, Yaron Lipman
2024 J jnl
Flow Matching Guide and Code.
CoRR
Yaron Lipman, Marton Havasi, Peter Holderrieth, Neta Shaul, Matt Le, Brian Karrer, Ricky T. Q. Chen, David Lopez-Paz, Heli Ben-Hamu, Itai Gat
2024 A* conf
Flow Matching on General Geometries.
ICLR
Ricky T. Q. Chen, Yaron Lipman
2024 J jnl
Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective.
CoRR
Neta Shaul, Itai Gat, Marton Havasi, Daniel Severo, Anuroop Sriram, Peter Holderrieth, Brian Karrer, Yaron Lipman, Ricky T. Q. Chen
2024 A* conf
Generalized Schrödinger Bridge Matching.
ICLR
Guan-Horng Liu, Yaron Lipman, Maximilian Nickel, Brian Karrer, Evangelos A. Theodorou, Ricky T. Q. Chen
2024 J jnl
Generator Matching: Generative modeling with arbitrary Markov processes.
CoRR
Peter Holderrieth, Marton Havasi, Jason Yim, Neta Shaul, Itai Gat, Tommi S. Jaakkola, Brian Karrer, Ricky T. Q. Chen, Yaron Lipman
2024 A* conf
Mosaic-SDF for 3D Generative Models.
CVPR
Lior Yariv, Omri Puny, Oran Gafni, Yaron Lipman
2023 J jnl
Bespoke Solvers for Generative Flow Models.
CoRR
Neta Shaul, Juan C. Pérez, Ricky T. Q. Chen, Ali K. Thabet, Albert Pumarola, Yaron Lipman
2023 A* conf
Equivariant Polynomials for Graph Neural Networks.
ICML
Omri Puny, Derek Lim, Bobak Toussi Kiani, Haggai Maron, Yaron Lipman
2023 J jnl
Equivariant Polynomials for Graph Neural Networks.
CoRR
Omri Puny, Derek Lim, Bobak Toussi Kiani, Haggai Maron, Yaron Lipman
2023 A* conf
Flow Matching for Generative Modeling.
ICLR
Yaron Lipman, Ricky T. Q. Chen, Heli Ben-Hamu, Maximilian Nickel, Matthew Le
2023 J jnl
Generalized Schrödinger Bridge Matching.
CoRR
Guan-Horng Liu, Yaron Lipman, Maximilian Nickel, Brian Karrer, Evangelos A. Theodorou, Ricky T. Q. Chen
2023 J jnl
Guided Flows for Generative Modeling and Decision Making.
CoRR
Qinqing Zheng, Matt Le, Neta Shaul, Yaron Lipman, Aditya Grover, Ricky T. Q. Chen
2023 J jnl
Mosaic-SDF for 3D Generative Models.
CoRR
Lior Yariv, Omri Puny, Natalia Neverova, Oran Gafni, Yaron Lipman
2023 A* conf
MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation.
ICML
Omer Bar-Tal, Lior Yariv, Yaron Lipman, Tali Dekel
2023 J jnl
MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation.
CoRR
Omer Bar-Tal, Lior Yariv, Yaron Lipman, Tali Dekel
2023 A* conf
Multisample Flow Matching: Straightening Flows with Minibatch Couplings.
ICML
Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich, Brandon Amos, Yaron Lipman, Ricky T. Q. Chen
2023 J jnl
Multisample Flow Matching: Straightening Flows with Minibatch Couplings.
CoRR
Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich, Brandon Amos, Yaron Lipman, Ricky T. Q. Chen
2023 A* conf
On Kinetic Optimal Probability Paths for Generative Models.
ICML
Neta Shaul, Ricky T. Q. Chen, Maximilian Nickel, Matthew Le, Yaron Lipman
2023 J jnl
On Kinetic Optimal Probability Paths for Generative Models.
CoRR
Neta Shaul, Ricky T. Q. Chen, Maximilian Nickel, Matt Le, Yaron Lipman
2023 J jnl
Riemannian Flow Matching on General Geometries.
CoRR
Ricky T. Q. Chen, Yaron Lipman
2023 J jnl
VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids.
CoRR
Albert Pumarola, Artsiom Sanakoyeu, Lior Yariv, Ali K. Thabet, Yaron Lipman
2023 J jnl
Weisfeiler and Leman go Machine Learning: The Story so far.
J. Mach. Learn. Res.
Christopher Morris, Yaron Lipman, Haggai Maron, Bastian Rieck, Nils M. Kriege, Martin Grohe, Matthias Fey, Karsten M. Borgwardt
2022 J jnl
Flow Matching for Generative Modeling.
CoRR
Yaron Lipman, Ricky T. Q. Chen, Heli Ben-Hamu, Maximilian Nickel, Matt Le
2022 A* conf
Frame Averaging for Equivariant Shape Space Learning.
CVPR
Matan Atzmon, Koki Nagano, Sanja Fidler, Sameh Khamis, Yaron Lipman
2022 A* conf
Frame Averaging for Invariant and Equivariant Network Design.
ICLR
Omri Puny, Matan Atzmon, Edward J. Smith, Ishan Misra, Aditya Grover, Heli Ben-Hamu, Yaron Lipman
2022 A* conf
Matching Normalizing Flows and Probability Paths on Manifolds.
ICML
Heli Ben-Hamu, Samuel Cohen, Joey Bose, Brandon Amos, Maximilian Nickel, Aditya Grover, Ricky T. Q. Chen, Yaron Lipman
2022 J jnl
Matching Normalizing Flows and Probability Paths on Manifolds.
CoRR
Heli Ben-Hamu, Samuel Cohen, Joey Bose, Brandon Amos, Aditya Grover, Maximilian Nickel, Ricky T. Q. Chen, Yaron Lipman
2022 A* conf
Neural Conservation Laws: A Divergence-Free Perspective.
NeurIPS
Jack Richter-Powell, Yaron Lipman, Ricky T. Q. Chen
2022 J jnl
Neural Conservation Laws: A Divergence-Free Perspective.
CoRR
Jack Richter-Powell, Yaron Lipman, Ricky T. Q. Chen
2022 A* conf
VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids.
NeurIPS
Albert Pumarola, Artsiom Sanakoyeu, Lior Yariv, Ali K. Thabet, Yaron Lipman
2021 J jnl
Augmenting Implicit Neural Shape Representations with Explicit Deformation Fields.
CoRR
Matan Atzmon, David Novotný, Andrea Vedaldi, Yaron Lipman
2021 J jnl
Frame Averaging for Equivariant Shape Space Learning.
CoRR
Matan Atzmon, Koki Nagano, Sanja Fidler, Sameh Khamis, Yaron Lipman
2021 J jnl
Frame Averaging for Invariant and Equivariant Network Design.
CoRR
Omri Puny, Matan Atzmon, Heli Ben-Hamu, Edward J. Smith, Ishan Misra, Aditya Grover, Yaron Lipman
2021 A* conf
Moser Flow: Divergence-based Generative Modeling on Manifolds.
NeurIPS
Noam Rozen, Aditya Grover, Maximilian Nickel, Yaron Lipman
2021 J jnl
Moser Flow: Divergence-based Generative Modeling on Manifolds.
CoRR
Noam Rozen, Aditya Grover, Maximilian Nickel, Yaron Lipman
2021 A* conf
Phase Transitions, Distance Functions, and Implicit Neural Representations.
ICML
Yaron Lipman
2021 J jnl
Phase Transitions, Distance Functions, and Implicit Neural Representations.
CoRR
Yaron Lipman
2021 A* conf
Riemannian Convex Potential Maps.
ICML
Samuel Cohen, Brandon Amos, Yaron Lipman
2021 J jnl
Riemannian Convex Potential Maps.
CoRR
Samuel Cohen, Brandon Amos, Yaron Lipman
2021 A* conf
SALD: Sign Agnostic Learning with Derivatives.
ICLR
Matan Atzmon, Yaron Lipman
2021 A* conf
Volume Rendering of Neural Implicit Surfaces.
NeurIPS
Lior Yariv, Jiatao Gu, Yoni Kasten, Yaron Lipman
2021 J jnl
Volume Rendering of Neural Implicit Surfaces.
CoRR
Lior Yariv, Jiatao Gu, Yoni Kasten, Yaron Lipman
2021 J jnl
Weisfeiler and Leman go Machine Learning: The Story so far.
CoRR
Christopher Morris, Yaron Lipman, Haggai Maron, Bastian Rieck, Nils M. Kriege, Martin Grohe, Matthias Fey, Karsten M. Borgwardt
2020 J jnl
From Graph Low-Rank Global Attention to 2-FWL Approximation.
CoRR
Omri Puny, Heli Ben-Hamu, Yaron Lipman
2020 A* conf
Implicit Geometric Regularization for Learning Shapes.
ICML
Amos Gropp, Lior Yariv, Niv Haim, Matan Atzmon, Yaron Lipman
2020 J jnl
Implicit Geometric Regularization for Learning Shapes.
CoRR
Amos Gropp, Lior Yariv, Niv Haim, Matan Atzmon, Yaron Lipman
2020 J jnl
Isometric Autoencoders.
CoRR
Matan Atzmon, Amos Gropp, Yaron Lipman
2020 A* conf
Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance.
NeurIPS
Lior Yariv, Yoni Kasten, Dror Moran, Meirav Galun, Matan Atzmon, Ronen Basri, Yaron Lipman
2020 A* conf
On Universal Equivariant Set Networks.
ICLR
Nimrod Segol, Yaron Lipman
2020 J jnl
SAL++: Sign Agnostic Learning with Derivatives.
CoRR
Matan Atzmon, Yaron Lipman
2020 A* conf
SAL: Sign Agnostic Learning of Shapes From Raw Data.
CVPR
Matan Atzmon, Yaron Lipman
2020 A* conf
Set2Graph: Learning Graphs From Sets.
NeurIPS
Hadar Serviansky, Nimrod Segol, Jonathan Shlomi, Kyle Cranmer, Eilam Gross, Haggai Maron, Yaron Lipman
2020 J jnl
Set2Graph: Learning Graphs From Sets.
CoRR
Hadar Serviansky, Nimrod Segol, Jonathan Shlomi, Kyle Cranmer, Eilam Gross, Haggai Maron, Yaron Lipman
2020 J jnl
Universal Differentiable Renderer for Implicit Neural Representations.
CoRR
Lior Yariv, Matan Atzmon, Yaron Lipman
2019 A* conf
Controlling Neural Level Sets.
NeurIPS
Matan Atzmon, Niv Haim, Lior Yariv, Ofer Israelov, Haggai Maron, Yaron Lipman
2019 J jnl
Controlling Neural Level Sets.
CoRR
Matan Atzmon, Niv Haim, Lior Yariv, Ofer Israelov, Haggai Maron, Yaron Lipman
2019 — conf
Invariant and Equivariant Graph Networks.
ICLR (Poster)
Haggai Maron, Heli Ben-Hamu, Nadav Shamir, Yaron Lipman
2019 J jnl
On Universal Equivariant Set Networks.
CoRR
Nimrod Segol, Yaron Lipman
2019 A* conf
On the Universality of Invariant Networks.
ICML
Haggai Maron, Ethan Fetaya, Nimrod Segol, Yaron Lipman
2019 J jnl
On the Universality of Invariant Networks.
CoRR
Haggai Maron, Ethan Fetaya, Nimrod Segol, Yaron Lipman
2019 A* conf
Provably Powerful Graph Networks.
NeurIPS
Haggai Maron, Heli Ben-Hamu, Hadar Serviansky, Yaron Lipman
2019 J jnl
Provably Powerful Graph Networks.
CoRR
Haggai Maron, Heli Ben-Hamu, Hadar Serviansky, Yaron Lipman
2019 J jnl
SAL: Sign Agnostic Learning of Shapes from Raw Data.
CoRR
Matan Atzmon, Yaron Lipman
2019 J jnl
Sinkhorn Algorithm for Lifted Assignment Problems.
SIAM J. Imaging Sci.
Yam Kushinsky, Haggai Maron, Nadav Dym, Yaron Lipman
2019 A* conf
Surface Networks via General Covers.
ICCV
Niv Haim, Nimrod Segol, Heli Ben-Hamu, Haggai Maron, Yaron Lipman
2018 A* conf
(Probably) Concave Graph Matching.
NeurIPS
Haggai Maron, Yaron Lipman
2018 J jnl
Invariant and Equivariant Graph Networks.
CoRR
Haggai Maron, Heli Ben-Hamu, Nadav Shamir, Yaron Lipman
2018 J jnl
Multi-chart Generative Surface Modeling.
CoRR
Heli Ben-Hamu, Haggai Maron, Itay Kezurer, Gal Avineri, Yaron Lipman
2018 J jnl
Multi-chart generative surface modeling.
ACM Trans. Graph.
Heli Ben-Hamu, Haggai Maron, Itay Kezurer, Gal Avineri, Yaron Lipman
2018 J jnl
Photometric Stereo by Hemispherical Metric Embedding.
J. Math. Imaging Vis.
Ofer Bartal, Nati Ofir, Yaron Lipman, Ronen Basri
2018 J jnl
Point Convolutional Neural Networks by Extension Operators.
CoRR
Matan Atzmon, Haggai Maron, Yaron Lipman
2018 J jnl
Point convolutional neural networks by extension operators.
ACM Trans. Graph.
Matan Atzmon, Haggai Maron, Yaron Lipman
2018 J jnl
Robust optimization for topological surface reconstruction.
ACM Trans. Graph.
Roee Lazar, Nadav Dym, Yam Kushinsky, Zhiyang Huang, Tao Ju, Yaron Lipman
2018 J jnl
Surface Networks via General Covers.
CoRR
Niv Haim, Nimrod Segol, Heli Ben-Hamu, Haggai Maron, Yaron Lipman
2017 J jnl
A Linear Variational Principle for Riemann Mapping and Discrete Conformality.
CoRR
Nadav Dym, Yaron Lipman, Raz Slutsky
2017 J jnl
Convolutional neural networks on surfaces via seamless toric covers.
ACM Trans. Graph.
Haggai Maron, Meirav Galun, Noam Aigerman, Miri Trope, Nadav Dym, Ersin Yumer, Vladimir G. Kim, Yaron Lipman
2017 J jnl
DS++: A flexible, scalable and provably tight relaxation for matching problems.
CoRR
Nadav Dym, Haggai Maron, Yaron Lipman
2017 J jnl
DS++: a flexible, scalable and provably tight relaxation for matching problems.
ACM Trans. Graph.
Nadav Dym, Haggai Maron, Yaron Lipman
2017 J jnl
Exact Recovery with Symmetries for Procrustes Matching.
SIAM J. Optim.
Nadav Dym, Yaron Lipman
2017 J jnl
Geometric optimization via composite majorization.
ACM Trans. Graph.
Anna Shtengel, Roi Poranne, Olga Sorkine-Hornung, Shahar Z. Kovalsky, Yaron Lipman
2017 J jnl
Photometric Stereo by Hemispherical Metric Embedding.
CoRR
Ofer Bartal, Nati Ofir, Yaron Lipman, Ronen Basri
2017 J jnl
Spherical orbifold tutte embeddings.
ACM Trans. Graph.
Noam Aigerman, Shahar Z. Kovalsky, Yaron Lipman
2016 J jnl
Accelerated quadratic proxy for geometric optimization.
ACM Trans. Graph.
Shahar Z. Kovalsky, Meirav Galun, Yaron Lipman
2016 J jnl
Hyperbolic orbifold tutte embeddings.
ACM Trans. Graph.
Noam Aigerman, Yaron Lipman
2016 J jnl
Point registration via efficient convex relaxation.
ACM Trans. Graph.
Haggai Maron, Nadav Dym, Itay Kezurer, Shahar Z. Kovalsky, Yaron Lipman
2015 J jnl
Homotopic Morphing of Planar Curves.
Comput. Graph. Forum
Nadav Dym, Anna Shtengel, Yaron Lipman
2015 J jnl
Large-scale bounded distortion mappings.
ACM Trans. Graph.
Shahar Z. Kovalsky, Noam Aigerman, Ronen Basri, Yaron Lipman
2015 J jnl
Orbifold Tutte embeddings.
ACM Trans. Graph.
Noam Aigerman, Yaron Lipman
2015 J jnl
Seamless surface mappings.
ACM Trans. Graph.
Noam Aigerman, Roi Poranne, Yaron Lipman
2015 J jnl
Tight Relaxation of Quadratic Matching.
Comput. Graph. Forum
Itay Kezurer, Shahar Z. Kovalsky, Ronen Basri, Yaron Lipman
2015 A* conf
Wide Baseline Stereo Matching with Convex Bounded Distortion Constraints.
ICCV
Meirav Galun, Tal Amir, Tal Hassner, Ronen Basri, Yaron Lipman
2015 J jnl
Wide baseline stereo matching with convex bounded-distortion constraints.
CoRR
Meirav Galun, Tal Amir, Tal Hassner, Ronen Basri, Yaron Lipman
2014 J jnl
Bijective Mappings of Meshes with Boundary and the Degree in Mesh Processing.
SIAM J. Imaging Sci.
Yaron Lipman
2014 J jnl
Controlling singular values with semidefinite programming.
ACM Trans. Graph.
Shahar Z. Kovalsky, Noam Aigerman, Ronen Basri, Yaron Lipman
2014 J jnl
Feature Matching with Bounded Distortion.
ACM Trans. Graph.
Yaron Lipman, Stav Yagev, Roi Poranne, David W. Jacobs, Ronen Basri
2014 J jnl
Lifted bijections for low distortion surface mappings.
ACM Trans. Graph.
Noam Aigerman, Roi Poranne, Yaron Lipman
2014 J jnl
Provably good planar mappings.
ACM Trans. Graph.
Roi Poranne, Yaron Lipman
2013 J jnl
Approximation of Polyhedral Surface Uniformization
CoRR
Yaron Lipman
2013 J jnl
Conformal Wasserstein distance: II. computational aspects and extensions.
Math. Comput.
Yaron Lipman, Jesús Puente, Ingrid Daubechies
2013 J jnl
Construction of Injective Mappings Of Meshes.
CoRR
Yaron Lipman
2013 J jnl
Injective and bounded distortion mappings in 3D.
ACM Trans. Graph.
Noam Aigerman, Yaron Lipman
2012 J jnl
Bounded distortion mapping spaces for triangular meshes.
ACM Trans. Graph.
Yaron Lipman
2012 J jnl
Fields on symmetric surfaces.
ACM Trans. Graph.
Daniele Panozzo, Yaron Lipman, Enrico Puppo, Denis Zorin
2012 J jnl
Sensor network localization by eigenvector synchronization over the euclidean group.
ACM Trans. Sens. Networks
Mihai Cucuringu, Yaron Lipman, Amit Singer
2012 J jnl
Simple formulas for quasiconformal plane deformations.
ACM Trans. Graph.
Yaron Lipman, Vladimir G. Kim, Thomas A. Funkhouser
2012 J jnl
Symmetry-guided texture synthesis and manipulation.
ACM Trans. Graph.
Vladimir G. Kim, Yaron Lipman, Thomas A. Funkhouser
2011 J jnl
Algorithms to automatically quantify the geometric similarity of anatomical surfaces
CoRR
Doug M. Boyer, Yaron Lipman, Elizabeth St. Clair, Jesús Puente, Thomas A. Funkhouser, Biren A. Patel, Jukka Jernvall, Ingrid Daubechies
2011 J jnl
Blended intrinsic maps.
ACM Trans. Graph.
Vladimir G. Kim, Yaron Lipman, Thomas A. Funkhouser
2010 J jnl
Biharmonic distance.
ACM Trans. Graph.
Yaron Lipman, Raif M. Rustamov, Thomas A. Funkhouser
2010 J jnl
Möbius Transformations For Global Intrinsic Symmetry Analysis.
Comput. Graph. Forum
Vladimir G. Kim, Yaron Lipman, Xiaobai Chen, Thomas A. Funkhouser
2010 J jnl
Symmetry factored embedding and distance.
ACM Trans. Graph.
Yaron Lipman, Xiaobai Chen, Ingrid Daubechies, Thomas A. Funkhouser
2009 J jnl
Coordinates for instant image cloning.
ACM Trans. Graph.
Zeev Farbman, Gil Hoffer, Yaron Lipman, Daniel Cohen-Or, Dani Lischinski
2009 J jnl
Interior Distance Using Barycentric Coordinates.
Comput. Graph. Forum
Raif M. Rustamov, Yaron Lipman, Thomas A. Funkhouser
2009 J jnl
Möbius voting for surface correspondence.
ACM Trans. Graph.
Yaron Lipman, Thomas A. Funkhouser
2009 J jnl
Stable Moving Least-Squares.
J. Approx. Theory
Yaron Lipman
2008 J jnl
Green Coordinates.
ACM Trans. Graph.
Yaron Lipman, David Levin, Daniel Cohen-Or
2008 — —
On representation, deformation and approximation of discrete surfaces
Yaron Lipman
2007 J jnl
Context-Aware Skeletal Shape Deformation.
Comput. Graph. Forum
Ofir Weber, Olga Sorkine, Yaron Lipman, Craig Gotsman
2007 B conf
Data-dependent MLS for faithful surface approximation.
Symposium on Geometry Processing
Yaron Lipman, Daniel Cohen-Or, David Levin
2007 B conf
GPU-assisted positive mean value coordinates for mesh deformations.
Symposium on Geometry Processing
Yaron Lipman, Johannes Kopf, Daniel Cohen-Or, David Levin
2007 J jnl
Parameterization-free projection for geometry reconstruction.
ACM Trans. Graph.
Yaron Lipman, Daniel Cohen-Or, David Levin, Hillel Tal-Ezer
2007 J jnl
Volume and shape preservation via moving frame manipulation.
ACM Trans. Graph.
Yaron Lipman, Daniel Cohen-Or, Ran Gal, David Levin
2006 B conf
Error bounds and optimal neighborhoods for MLS approximation.
Symposium on Geometry Processing
Yaron Lipman, Daniel Cohen-Or, David Levin
2005 J jnl
Laplacian Framework for Interactive Mesh Editing.
Int. J. Shape Model.
Yaron Lipman, Olga Sorkine, Marc Alexa, Daniel Cohen-Or, David Levin, Christian Rössl, Hans-Peter Seidel
2005 J jnl
Linear rotation-invariant coordinates for meshes.
ACM Trans. Graph.
Yaron Lipman, Olga Sorkine, David Levin, Daniel Cohen-Or
2004 — conf
Differential Coordinates for Interactive Mesh Editing.
SMI
Yaron Lipman, Olga Sorkine, Daniel Cohen-Or, David Levin, Christian Rössl, Hans-Peter Seidel
2004 B conf
Laplacian Surface Editing.
Symposium on Geometry Processing
Olga Sorkine, Daniel Cohen-Or, Yaron Lipman, Marc Alexa, Christian Rössl, Hans-Peter Seidel