Nicholas Sharp

According to our database, Nicholas Sharp authored at least 21 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Adaptive Shells for Efficient Neural Radiance Field Rendering.

Zian Wang, Tianchang Shen, Merlin Nimier-David, Nicholas Sharp, Jun Gao, Alexander Keller, Sanja Fidler, Thomas Müller, Zan Gojcic

ACM Trans. Graph., December, 2023

Flexible Isosurface Extraction for Gradient-Based Mesh Optimization.

Tianchang Shen, Jacob Munkberg, Jon Hasselgren, Kangxue Yin, Zian Wang, Wenzheng Chen, Zan Gojcic, Sanja Fidler, Nicholas Sharp, Jun Gao

ACM Trans. Graph., August, 2023

Surface Simplification using Intrinsic Error Metrics.

Hsueh-Ti Derek Liu, Mark Gillespie, Benjamin Chislett, Nicholas Sharp, Alec Jacobson, Keenan Crane

ACM Trans. Graph., August, 2023

Data-Free Learning of Reduced-Order Kinematics.

Nicholas Sharp, Cristian Romero, Alec Jacobson, Etienne Vouga, Paul G. Kry, David I. W. Levin, Justin Solomon

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

ATT3D: Amortized Text-to-3D Object Synthesis.

Jonathan Lorraine, Kevin Xie, Xiaohui Zeng, Chen-Hsuan Lin, Towaki Takikawa, Nicholas Sharp, Tsung-Yi Lin, Ming-Yu Liu, Sanja Fidler, James Lucas

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models.

Tianshi Cao, Karsten Kreis, Sanja Fidler, Nicholas Sharp, Kangxue Yin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Spelunking the deep: guaranteed queries on general neural implicit surfaces via range analysis.

Nicholas Sharp, Alec Jacobson

ACM Trans. Graph., 2022

DiffusionNet: Discretization Agnostic Learning on Surfaces.

Nicholas Sharp, Souhaib Attaiki, Keenan Crane, Maks Ovsjanikov

ACM Trans. Graph., 2022

Spelunking the Deep: Guaranteed Queries for General Neural Implicit Surfaces.

Nicholas Sharp, Alec Jacobson

CoRR, 2022

VectorAdam for Rotation Equivariant Geometry Optimization.

Selena Ling, Nicholas Sharp, Alec Jacobson

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Intrinsic Triangulations in Geometry Processing.

Nicholas Sharp

PhD thesis, 2021

Integer coordinates for intrinsic geometry processing.

Mark Gillespie, Nicholas Sharp, Keenan Crane

ACM Trans. Graph., 2021

Geometry processing with intrinsic triangulations.

Nicholas Sharp, Mark Gillespie, Keenan Crane

Proceedings of the SIGGRAPH 2021: Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2021

2020

You can find geodesic paths in triangle meshes by just flipping edges.

Nicholas Sharp, Keenan Crane

ACM Trans. Graph., 2020

Diffusion is All You Need for Learning on Surfaces.

Nicholas Sharp, Souhaib Attaiki, Keenan Crane, Maks Ovsjanikov

CoRR, 2020

A Laplacian for Nonmanifold Triangle Meshes.

Nicholas Sharp, Keenan Crane

Comput. Graph. Forum, 2020

PointTriNet: Learned Triangulation of 3D Point Sets.

Nicholas Sharp, Maks Ovsjanikov

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Navigating intrinsic triangulations.

Nicholas Sharp, Yousuf Soliman, Keenan Crane

ACM Trans. Graph., 2019

The Vector Heat Method.

Nicholas Sharp, Yousuf Soliman, Keenan Crane

ACM Trans. Graph., 2019

2018

Variational surface cutting.

Nicholas Sharp, Keenan Crane

ACM Trans. Graph., 2018

2016

Xtalk: a path-based approach for identifying crosstalk between signaling pathways.

Allison N. Tegge, Nicholas Sharp, T. M. Murali

Bioinform., 2016