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ORCIDFrancis Williams
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2020 – today
- 2024
[j1]Francis Williams
, Jiahui Huang, Jonathan Swartz, Gergely Klár, Vijay Thakkar, Matthew Cong, Xuanchi Ren, Ruilong Li, Clement Fuji-Tsang, Sanja Fidler, Eftychios Sifakis, Ken Museth:
fVDB : A Deep-Learning Framework for Sparse, Large Scale, and High Performance Spatial Intelligence. ACM Trans. Graph. 43(4): 133:1-133:15 (2024)- [c17]Xuanchi Ren, Jiahui Huang, Xiaohui Zeng, Ken Museth, Sanja Fidler, Francis Williams:
XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies. CVPR 2024: 4209-4219 - [c16]Dongsu Zhang, Francis Williams, Zan Gojcic, Karsten Kreis, Sanja Fidler, Young Min Kim, Amlan Kar:
Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata. CVPR 2024: 20145-20154 - [c15]Matan Atzmon, Jiahui Huang, Francis Williams, Or Litany:
Approximately Piecewise E(3) Equivariant Point Networks. ICLR 2024 - [c14]Yichen Li, Yilun Du, Chao Liu, Chao Liu, Francis Williams, Michael Foshey, Benjamin Eckart, Jan Kautz, Joshua B. Tenenbaum, Antonio Torralba, Wojciech Matusik:
Learning to Jointly Understand Visual and Tactile Signals. ICLR 2024 - [i18]Matan Atzmon, Jiahui Huang, Francis Williams, Or Litany:
Approximately Piecewise E(3) Equivariant Point Networks. CoRR abs/2402.08529 (2024) - [i17]Ruilong Li, Sanja Fidler, Angjoo Kanazawa, Francis Williams:
NeRF-XL: Scaling NeRFs with Multiple GPUs. CoRR abs/2404.16221 (2024) - [i16]Dongsu Zhang, Francis Williams, Zan Gojcic, Karsten Kreis, Sanja Fidler, Young Min Kim, Amlan Kar:
Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata. CoRR abs/2406.08292 (2024) - [i15]Francis Williams, Jiahui Huang, Jonathan Swartz, Gergely Klár, Vijay Thakkar, Matthew Cong, Xuanchi Ren, Ruilong Li, Clement Fuji-Tsang, Sanja Fidler, Eftychios Sifakis, Ken Museth:
fVDB: A Deep-Learning Framework for Sparse, Large-Scale, and High-Performance Spatial Intelligence. CoRR abs/2407.01781 (2024) - 2023
- [c13]Jiahui Huang, Zan Gojcic, Matan Atzmon, Or Litany, Sanja Fidler, Francis Williams:
Neural Kernel Surface Reconstruction. CVPR 2023: 4369-4379 - [c12]Shengyu Huang, Zan Gojcic, Zian Wang, Francis Williams, Yoni Kasten, Sanja Fidler, Konrad Schindler, Or Litany:
Neural LiDAR Fields for Novel View Synthesis. ICCV 2023: 18190-18200 - [i14]Shengyu Huang, Zan Gojcic, Zian Wang, Francis Williams, Yoni Kasten, Sanja Fidler, Konrad Schindler, Or Litany:
Neural LiDAR Fields for Novel View Synthesis. CoRR abs/2305.01643 (2023) - [i13]Jiahui Huang, Zan Gojcic, Matan Atzmon, Or Litany, Sanja Fidler, Francis Williams:
Neural Kernel Surface Reconstruction. CoRR abs/2305.19590 (2023) - [i12]Xuanchi Ren, Jiahui Huang, Xiaohui Zeng, Ken Museth, Sanja Fidler, Francis Williams:
XCube (X3): Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies. CoRR abs/2312.03806 (2023) - 2022
- [c11]Francis Williams, Zan Gojcic, Sameh Khamis, Denis Zorin, Joan Bruna, Sanja Fidler, Or Litany:
Neural Fields as Learnable Kernels for 3D Reconstruction. CVPR 2022: 18479-18489 - [c10]Xiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, Karsten Kreis:
LION: Latent Point Diffusion Models for 3D Shape Generation. NeurIPS 2022 - [c9]Hsueh-Ti Derek Liu, Francis Williams, Alec Jacobson, Sanja Fidler, Or Litany:
Learning Smooth Neural Functions via Lipschitz Regularization. SIGGRAPH (Conference Paper Track) 2022: 31:1-31:13 - [i11]Hsueh-Ti Derek Liu, Francis Williams, Alec Jacobson, Sanja Fidler, Or Litany:
Learning Smooth Neural Functions via Lipschitz Regularization. CoRR abs/2202.08345 (2022) - [i10]Xiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, Karsten Kreis:
LION: Latent Point Diffusion Models for 3D Shape Generation. CoRR abs/2210.06978 (2022) - 2021
- [c8]Francis Williams, Matthew Trager, Joan Bruna, Denis Zorin:
Neural Splines: Fitting 3D Surfaces With Infinitely-Wide Neural Networks. CVPR 2021: 9949-9958 - [i9]Yossi Arjevani, Joan Bruna, Michael Field, Joe Kileel, Matthew Trager, Francis Williams:
Symmetry Breaking in Symmetric Tensor Decomposition. CoRR abs/2103.06234 (2021) - [i8]Francis Williams, Zan Gojcic, Sameh Khamis, Denis Zorin, Joan Bruna, Sanja Fidler, Or Litany:
Neural Fields as Learnable Kernels for 3D Reconstruction. CoRR abs/2111.13674 (2021) - 2020
- [c7]Francis Williams, Alexander Bock, Harish Doraiswamy, Cassandra M. Donatelli, Kayla Hall, Adam Summers, Daniele Panozzo, Cláudio T. Silva:
Unwind: Interactive Fish Straightening. CHI 2020: 1-13 - [c6]Francis Williams, Jérôme Parent-Lévesque, Derek Nowrouzezahrai, Daniele Panozzo, Kwang Moo Yi, Andrea Tagliasacchi:
VoronoiNet : General Functional Approximators with Local Support. CVPR Workshops 2020: 1069-1073 - [i7]Francis Williams, Matthew Trager, Joan Bruna, Denis Zorin:
Neural Splines: Fitting 3D Surfaces with Infinitely-Wide Neural Networks. CoRR abs/2006.13782 (2020) - [i6]Francis Williams, Or Litany, Avneesh Sud, Kevin Swersky, Andrea Tagliasacchi:
Human 3D keypoints via spatial uncertainty modeling. CoRR abs/2012.10518 (2020)
2010 – 2019
- 2019
- [c5]Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov, Evgeny Burnaev, Marc Alexa, Denis Zorin, Daniele Panozzo:
ABC: A Big CAD Model Dataset for Geometric Deep Learning. CVPR 2019: 9601-9611 - [c4]Francis Williams, Teseo Schneider, Cláudio T. Silva, Denis Zorin, Joan Bruna, Daniele Panozzo:
Deep Geometric Prior for Surface Reconstruction. CVPR 2019: 10130-10139 - [c3]Francis Williams, Matthew Trager, Daniele Panozzo, Cláudio T. Silva, Denis Zorin, Joan Bruna:
Gradient Dynamics of Shallow Univariate ReLU Networks. NeurIPS 2019: 8376-8385 - [c2]Sebastian Koch, Teseo Schneider, Francis Williams, Daniele Panozzo:
Geometric computing with python. SIGGRAPH Courses 2019: 11:1-11:45 - [i5]Francis Williams, Alexander Bock, Harish Doraiswamy, Cassandra M. Donatelli, Adam Summers, Daniele Panozzo, Cláudio T. Silva:
Unwind: Interactive Fish Straightening. CoRR abs/1904.04890 (2019) - [i4]Francis Williams, Matthew Trager, Cláudio T. Silva, Daniele Panozzo, Denis Zorin, Joan Bruna:
Gradient Dynamics of Shallow Univariate ReLU Networks. CoRR abs/1906.07842 (2019) - [i3]Francis Williams, Daniele Panozzo, Kwang Moo Yi, Andrea Tagliasacchi:
VoronoiNet: General Functional Approximators with Local Support. CoRR abs/1912.03629 (2019) - 2018
- [i2]Francis Williams, Teseo Schneider, Cláudio T. Silva, Denis Zorin, Joan Bruna, Daniele Panozzo:
Deep Geometric Prior for Surface Reconstruction. CoRR abs/1811.10943 (2018) - [i1]Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov, Evgeny Burnaev, Marc Alexa, Denis Zorin, Daniele Panozzo:
ABC: A Big CAD Model Dataset For Geometric Deep Learning. CoRR abs/1812.06216 (2018) - 2016
- [c1]Francis Williams, Eugene Zhang:
Rendering kaleidoscopic scenes using orbifold theory. SIGGRAPH Asia Technical Briefs 2016: 17
Coauthor Index
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last updated on 2024-10-22 20:16 CEST by the dblp team
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