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In this work, we explore the challenging task of generating 3D shapes from text.
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ShapeNet: An Information-Rich 3D Model Repository
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Martin Arjovsky and Léon Bottou · 2017
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Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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PointNet: Deep learning on point sets for 3D classification and segmentation
Charles R. Qi, Hao Su, Kaichun Mo, and Leonidas J. Guibas · 2017
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StackGAN: Text to photo-realistic image synthesis with stacked generative adversarial networks
Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, and Dimitris N. Metaxas · 2017
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Learning representations and generative models for 3D point clouds
Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas, and Leonidas J. Guibas · 2018
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Learning to refer to 3D objects with natural language
Panos Achlioptas, Judy E. Fan, Robert X.D. Hawkins, Noah D. Goodman, and Leonidas J. Guibas · 2018
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Text2Shape: Generating shapes from natural language by learning joint embeddings
Kevin Chen, Christopher B. Choy, Manolis Savva, Angel X. Chang, Thomas Funkhouser, and Silvio Savarese · 2018
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BERT: Pre-training of deep bidirectional transformers for language understanding
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Progressive growing of GANs for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2018
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AttnGAN: Fine-grained text to image generation with attentional generative adversarial networks
Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, and Xiaodong He · 2018
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StackGAN++: Realistic image synthesis with stacked generative adversarial networks
Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, and Dimitris N. Metaxas · 2018
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Image2StyleGAN: How to embed images into the StyleGAN latent space?
Rameen Abdal, Yipeng Qin, and Peter Wonka · 2019
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Large scale GAN training for high fidelity natural image synthesis
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2019
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Zhiqin Chen and Hao Zhang · 2019
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MeshNet: Mesh neural network for 3D shape representation
Yutong Feng, Yifan Feng, Haoxuan You, Xibin Zhao, and Yue Gao · 2019
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SDM-NET: Deep generative network for structured deformable mesh
Lin Gao, Jie Yang, Tong Wu, Yu-Jie Yuan, Hongbo Fu, Yu-Kun Lai, and Hao Zhang · 2019
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Y2seq2seq: Cross-modal representation learning for 3D shape and text by joint reconstruction and prediction of view and word sequences
Zhizhong Han, Mingyang Shang, Xiyang Wang, Yu-Shen Liu, and Matthias Zwicker · 2019
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A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
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Controllable text-to-image generation
Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz, and Philip H. S. Torr · 2019
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Diverse image synthesis from semantic layouts via conditional IMLE
Ke Li, Tianhao Zhang, and Jitendra Malik · 2019
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Occupancy networks: Learning 3D reconstruction in function space
Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger · 2019
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StructureNet.: Hierarchical graph networks for 3D shape generation
Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy Mitra, and Leonidas J. Guibas · 2019
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Texture fields: Learning texture representations in function space
Michael Oechsle, Lars Mescheder, Michael Niemeyer, Thilo Strauss, and Andreas Geiger · 2019
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DeepSDF: Learning continuous signed distance functions for shape representation
Differentiable volumetric rendering: Learning implicit 3D representations without 3D supervision
Michael Niemeyer, Lars Mescheder, Michael Oechsle, and Andreas Geiger · 2020
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Learning implicit surface light fields
Michael Oechsle, Michael Niemeyer, Christian Reiser, Lars Mescheder, Thilo Strauss, and Andreas Geiger · 2020
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Convolutional occupancy networks
Songyou Peng, Michael Niemeyer, Lars Mescheder, Marc Pollefeys, and Andreas Geiger · 2020
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Coupling explicit and implicit surface representations for generative 3D modeling
Omid Poursaeed, Matthew Fisher, Noam Aigerman, and Vladimir G. Kim · 2020
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Network-to-network translation with conditional invertible neural networks
Robin Rombach, Patrick Esser, and Björn Ommer · 2020
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Efficient neural architecture for text-to-image synthesis
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Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove · 2019
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Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
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MirrorGAN: Learning text-to-image generation by redescription
Tingting Qiao, Jing Zhang, Duanqing Xu, and Dacheng Tao · 2019
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3D point cloud generative adversarial network based on tree structured graph convolutions
Dong Wook Shu, Sung Woo Park, and Junseok Kwon · 2019
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Bridge-GAN: Interpretable representation learning for text-to-image synthesis
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Conditional image generation and manipulation for user-specified content
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PointGrow: Autoregressively learned point cloud generation with self-attention
Yongbin Sun, Yue Wang, Ziwei Liu, Joshua Siegel, and Sanjay Sarma · 2020
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PatchNets: Patch-based generalizable deep implicit 3D shape representations
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Text to image synthesis with bidirectional generative adversarial network
Zixu Wang, Zhe Quan, Zhi-Jie Wang, Xinjian Hu, and Yangyang Chen · 2020
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PQ-NET: A generative part seq2seq network for 3D shapes
Rundi Wu, Yixin Zhuang, Kai Xu, Hao Zhang, and Baoquan Chen · 2020
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Multiview neural surface reconstruction by disentangling geometry and appearance
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Himanshu Arora, Saurabh Mishra, Shichong Peng, Ke Li, and Ali Mahdavi-Amiri · 2021
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DECOR-GAN: 3D shape detailization by conditional refinement
Zhiqin Chen, Vladimir G. Kim, Matthew Fisher, Noam Aigerman, Hao Zhang, and Siddhartha Chaudhuri · 2021
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Multiresolution deep implicit functions for 3d shape representation
Zhang Chen, Yinda Zhang, Kyle Genova, Sean Fanello, Sofien Bouaziz, Christian Hane, Ruofei Du, Cem Keskin, Thomas Funkhouser, and Danhang Tang · 2021
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Deformed implicit field: Modeling 3D shapes with learned dense correspondence
Yu Deng, Jiaolong Yang, and Xin Tong · 2021
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DI-Fusion: Online implicit 3D reconstruction with deep priors
Jiahui Huang, Shi-Sheng Huang, Haoxuan Song, and Shi-Min Hu · 2021
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3D shape generation with grid-based implicit functions
Moritz Ibing, Isaak Lim, and Leif Kobbelt · 2021
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Semantics-guided latent space exploration for shape generation
Tansin Jahan, Yanran Guan, and Oliver van Kaick · 2021
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SP-GAN: sphere-guided 3D shape generation and manipulation
Ruihui Li, Xianzhi Li, Ka-Hei Hui, and Chi-Wing Fu · 2021
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Deep implicit moving least-squares functions for 3D reconstruction
Shi-Lin Liu, Hao-Xiang Guo, Hao Pan, Peng-Shuai Wang, Xin Tong, and Yang Liu · 2021
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StyleCLIP: Text-driven manipulation of StyleGAN imagery
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Generating unobserved alternatives
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Part2Word: Learning joint embedding of point clouds and text by matching parts to words
Chuan Tang, Xi Yang, Bojian Wu, Zhizhong Han, and Yi Chang · 2021
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Cycle-consistent inverse GAN for text-to-image synthesis
Hao Wang, Guosheng Lin, Steven Hoi, and Chunyan Miao · 2021
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TediGAN: Text-guided diverse face image generation and manipulation
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DSG-Net: Learning disentangled structure and geometry for 3D shape generation
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Iso-Points: Optimizing neural implicit surfaces with hybrid representations
Wang Yifan, Shihao Wu, Cengiz Oztireli, and Olga Sorkine-Hornung · 2021
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Deep implicit templates for 3D shape representation
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