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An Efficient End-to-End 3D Voxel Reconstruction based on Neural
  Architecture Search

An Efficient End-to-End 3D Voxel Reconstruction based on Neural Architecture Search

27 February 2022
Yongdong Huang
Yuanzhan Li
Xulong Cao
Siyu Zhang
Shen Cai
Ting Lu
Jie Wang
Yuqiao Liu
    3DV
ArXivPDFHTML

Papers citing "An Efficient End-to-End 3D Voxel Reconstruction based on Neural Architecture Search"

4 / 4 papers shown
Title
Convolutional Occupancy Networks
Convolutional Occupancy Networks
Songyou Peng
Michael Niemeyer
L. Mescheder
Marc Pollefeys
Andreas Geiger
3DV
AI4CE
229
971
0
10 Mar 2020
Efficient Multi-objective Neural Architecture Search via Lamarckian
  Evolution
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution
T. Elsken
J. H. Metzen
Frank Hutter
125
498
0
24 Apr 2018
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,099
0
02 Dec 2016
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,326
0
05 Nov 2016
1