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2407.01781
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fVDB: A Deep-Learning Framework for Sparse, Large-Scale, and High-Performance Spatial Intelligence
1 July 2024
Francis Williams
Jiahui Huang
Jonathan Swartz
G. Klár
Vijay Thakkar
Matthew Cong
Xuanchi Ren
Ruilong Li
Clement Fuji-Tsang
Sanja Fidler
Eftychios Sifakis
Ken Museth
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Papers citing
"fVDB: A Deep-Learning Framework for Sparse, Large-Scale, and High-Performance Spatial Intelligence"
2 / 2 papers shown
Title
Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders
Rui Chen
Jianfeng Zhang
Yixun Liang
Guan Luo
Weiyu Li
Jiarui Liu
Xiu Li
Xiaoxiao Long
Jiashi Feng
P. Tan
88
12
0
23 Dec 2024
TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs
Haotian Tang
Shang Yang
Zhijian Liu
Ke Hong
Zhongming Yu
Xiuyu Li
Guohao Dai
Yu Wang
Song Han
57
21
0
25 Oct 2023
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