activity
20202026
most citedImplicit Neural Spatial Representations for Time-dependent PDEs

6 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

ViPS: Video-informed Pose Spaces for Auto-Rigged Meshes

Honglin Chen, Karran Pandey, Rundi Wu +6

Kinematic rigs provide a structured interface for articulating 3D meshes but lack any associated pose space, i.e., an explicit representation of the plausible manifold of joint con…

cs.GR2024

Trust-Region Eigenvalue Filtering for Projected Newton

Honglin Chen, Hsueh-Ti Derek Liu, Alec Jacobson +2

We introduce a novel adaptive eigenvalue filtering strategy to stabilize and accelerate the optimization of Neo-Hookean energy and its variants under the Projected Newton framework…

cs.GR2024

Stabler Neo-Hookean Simulation: Absolute Eigenvalue Filtering for Projected Newton

Honglin Chen, Hsueh-Ti Derek Liu, David I. W. Levin +2

Volume-preserving hyperelastic materials are widely used to model near-incompressible materials such as rubber and soft tissues. However, the numerical simulation of volume-preserv…

cs.GR2023

Local Deformation for Interactive Shape Editing

Honglin Chen, Changxi Zheng, Kevin Wampler

We introduce a novel regularization for localizing an elastic-energy-driven deformation to only those regions being manipulated by the user. Our local deformation features a natura…

cs.LG2022★ 6 cited

Implicit Neural Spatial Representations for Time-dependent PDEs

Honglin Chen, Rundi Wu, Eitan Grinspun +2

Implicit Neural Spatial Representation (INSR) has emerged as an effective representation of spatially-dependent vector fields. This work explores solving time-dependent PDEs with I…

cs.GR2020★ 1 cited

Chordal Decomposition for Spectral Coarsening

Honglin Chen, Hsueh-Ti Derek Liu, Alec Jacobson +1

We introduce a novel solver to significantly reduce the size of a geometric operator while preserving its spectral properties at the lowest frequencies. We use chordal decompositio…