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Generative and Discriminative Voxel Modeling with Convolutional Neural
  Networks
v1v2 (latest)

Generative and Discriminative Voxel Modeling with Convolutional Neural Networks

15 August 2016
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
ArXiv (abs)PDFHTML

Papers citing "Generative and Discriminative Voxel Modeling with Convolutional Neural Networks"

21 / 21 papers shown
Title
Don't Mesh with Me: Generating Constructive Solid Geometry Instead of Meshes by Fine-Tuning a Code-Generation LLM
Don't Mesh with Me: Generating Constructive Solid Geometry Instead of Meshes by Fine-Tuning a Code-Generation LLM
Maximilian Mews
Ansar Aynetdinov
Vivian Schiller
Peter Eisert
Alan Akbik
3DVAI4CE
456
0
0
22 Nov 2024
Steerable Transformers
Steerable Transformers
Soumyabrata Kundu
Risi Kondor
ViTLLMSV
83
1
0
24 May 2024
Controllable Text-to-3D Generation via Surface-Aligned Gaussian Splatting
Controllable Text-to-3D Generation via Surface-Aligned Gaussian Splatting
Zhiqi Li
Yiming Chen
Lingzhe Zhao
Peidong Liu
DiffM3DGS
101
18
0
15 Mar 2024
MVTN: Learning Multi-View Transformations for 3D Understanding
MVTN: Learning Multi-View Transformations for 3D Understanding
Abdullah Hamdi
Faisal AlZahrani
Silvio Giancola
Guohao Li
3DV3DPC
116
6
0
27 Dec 2022
MeshWalker: Deep Mesh Understanding by Random Walks
MeshWalker: Deep Mesh Understanding by Random Walks
Alon Lahav
A. Tal
3DV
81
82
0
09 Jun 2020
FusionNet: 3D Object Classification Using Multiple Data Representations
FusionNet: 3D Object Classification Using Multiple Data Representations
Vishakh Hegde
R. Zadeh
3DPC
55
206
0
19 Jul 2016
Pairwise Decomposition of Image Sequences for Active Multi-View
  Recognition
Pairwise Decomposition of Image Sequences for Active Multi-View Recognition
Edward Johns
Stefan Leutenegger
Andrew J. Davison
56
227
0
26 May 2016
Theano: A Python framework for fast computation of mathematical
  expressions
Theano: A Python framework for fast computation of mathematical expressions
The Theano Development Team
Rami Al-Rfou
Guillaume Alain
Amjad Almahairi
Christof Angermüller
...
Kelvin Xu
Lijun Xue
Li Yao
Saizheng Zhang
Ying Zhang
201
2,340
0
09 May 2016
Orientation-boosted Voxel Nets for 3D Object Recognition
Orientation-boosted Voxel Nets for 3D Object Recognition
Nima Sedaghat
Mohammadreza Zolfaghari
Ehsan Amiri
Thomas Brox
3DPC
67
224
0
12 Apr 2016
Volumetric and Multi-View CNNs for Object Classification on 3D Data
Volumetric and Multi-View CNNs for Object Classification on 3D Data
C. Qi
Hao Su
Matthias Niessner
Angela Dai
Mengyuan Yan
Leonidas Guibas
3DPC3DV
242
1,567
0
12 Apr 2016
Deep Networks with Stochastic Depth
Deep Networks with Stochastic Depth
Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
215
2,361
0
30 Mar 2016
A guide to convolution arithmetic for deep learning
A guide to convolution arithmetic for deep learning
Vincent Dumoulin
Francesco Visin
FAtt3DHHAI
66
1,542
0
23 Mar 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
354
10,192
0
16 Mar 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
381
14,260
0
23 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,322
0
10 Dec 2015
Fast and Accurate Deep Network Learning by Exponential Linear Units
  (ELUs)
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
300
5,532
0
23 Nov 2015
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Hang Su
Subhransu Maji
E. Kalogerakis
Erik Learned-Miller
3DV
160
3,220
0
05 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,328
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,260
0
22 Dec 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
452
16,929
0
20 Dec 2013
Exact solutions to the nonlinear dynamics of learning in deep linear
  neural networks
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
Andrew M. Saxe
James L. McClelland
Surya Ganguli
ODL
178
1,849
0
20 Dec 2013
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