Learning to Generate 3D Shapes with Generative Cellular Automata

6 March 2021

Papers citing "Learning to Generate 3D Shapes with Generative Cellular Automata"

24 / 24 papers shown

Title
Learning Gradient Fields for Shape Generation Ruojin Cai Guandao Yang Hadar Averbuch-Elor Jinwei Gu Serge J. Belongie Noah Snavely B. Hariharan 3DPC 104 286 0 14 Aug 2020
Multimodal Shape Completion via Conditional Generative Adversarial Networks Rundi Wu Xuelin Chen Yixin Zhuang Baoquan Chen 3DPC 77 86 0 17 Mar 2020
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows Guandao Yang Xun Huang Jinwei Gu Ming-Yuan Liu Serge J. Belongie Bharath Hariharan 3DPC 99 667 0 28 Jun 2019
3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions Dong Wook Shu Sung Woo Park Junseok Kwon 3DPC 79 283 0 15 May 2019
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks Chris Choy JunYoung Gwak Silvio Savarese 3DPC 149 1,787 0 18 Apr 2019
PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding Kaichun Mo Shilin Zhu Angel X. Chang L. Yi Subarna Tripathi Leonidas Guibas Hao Su 3DPC 3DV 95 732 0 06 Dec 2018
PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention Yongbin Sun Yue Wang Ziwei Liu J. Siegel Sanjay E. Sarma 3DPC 59 195 0 12 Oct 2018
3D Semantic Segmentation with Submanifold Sparse Convolutional Networks Benjamin Graham Martin Engelcke Laurens van der Maaten 3DPC 103 1,516 0 28 Nov 2017
Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net Anirudh Goyal Nan Rosemary Ke Surya Ganguli Yoshua Bengio DiffM 121 55 0 07 Nov 2017
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 226 5,008 0 02 Nov 2017
Improved Adversarial Systems for 3D Object Generation and Reconstruction Edward James Smith David Meger GAN 53 172 0 29 Jul 2017
Learning to Generate Samples from Noise through Infusion Training Florian Bordes S. Honari Pascal Vincent GAN DiffM 61 44 0 20 Mar 2017
Mask R-CNN Kaiming He Georgia Gkioxari Piotr Dollár Ross B. Girshick ObjD 352 27,195 0 20 Mar 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 484 14,320 0 02 Dec 2016
Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis Angela Dai C. Qi Matthias Nießner 3DV 3DPC 78 606 0 01 Dec 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 308 1,953 0 24 Oct 2016
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 155 402 0 20 Oct 2016
Conditional Image Generation with PixelCNN Decoders Aaron van den Oord Nal Kalchbrenner Oriol Vinyals L. Espeholt Alex Graves Koray Kavukcuoglu VLM 204 2,511 0 16 Jun 2016
ShapeNet: An Information-Rich 3D Model Repository Angel X. Chang Thomas Funkhouser Leonidas Guibas Pat Hanrahan Qi-Xing Huang ... Shuran Song Hao Su Jianxiong Xiao L. Yi Feng Yu 3DV 162 5,530 0 09 Dec 2015
How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary? Ferenc Huszár OOD DiffM GAN 84 297 0 16 Nov 2015
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks Samy Bengio Oriol Vinyals Navdeep Jaitly Noam M. Shazeer 145 2,034 0 09 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,196 0 18 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 301 6,949 0 12 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,115 0 22 Dec 2014