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The increased demand for tools that automate the 3D content creation process led to tremendous progress in deep generative models that can generate diverse 3D objects of high fidelity.
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TensorFlow: learning functions at scale. In Proceedings of the 21st ACM SIGPLAN International Conference on Functional Programming
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3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction. In Proc. of the European Conf. on Computer Vision (ECCV)
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ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
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Unsupervised Learning of 3D Structure from Images. In Advances in Neural Information Processing Systems (NIPS)
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WaveNet: A Generative Model for Raw Audio. In The 9th ISCA Speech Synthesis Workshop, Sunnyvale, CA, USA, 13-15 September 2016
Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W. Senior, and Koray Kavukcuoglu. 2016 · 2016
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A Point Set Generation Network for 3D Object Reconstruction from a Single Image
Haoqiang Fan, Hao Su, and Leonidas J. Guibas. 2017 · 2017
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3D Shape Induction from 2D Views of Multiple Objects. In Proc. of the International Conf. on 3D Vision (3DV)
Matheus Gadelha, Subhransu Maji, and Rui Wang. 2017 · 2017
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GANs Trained by a Two Time-scale Update Rule Converge to a Local Nash Equilibrium. In Advances in Neural Information Processing Systems (NIPS)
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter. 2017 · 2017
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Image-to-Image Translation with Conditional Adversarial Networks. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A. Efros. 2017 · 2017
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GRASS: generative recursive autoencoders for shape structures
Jun Li, Kai Xu, Siddhartha Chaudhuri, Ersin Yumer, Hao (Richard) Zhang, and Leonidas J. Guibas. 2017 · 2017
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PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space. In Advances in Neural Information Processing Systems (NIPS)
Charles R Qi, Li Yi, Hao Su, and Leonidas J Guibas. 2017 · 2017
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OctNet: Learning Deep 3D Representations at High Resolutions. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)
Gernot Riegler, Ali Osman Ulusoy, and Andreas Geiger. 2017 · 2017
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PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications. In Proc. of the International Conf. on Learning Representations (ICLR)
Tim Salimans, Andrej Karpathy, Xi Chen, and Diederik P. Kingma. 2017 · 2017
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Learning Shape Abstractions by Assembling Volumetric Primitives. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)
Shubham Tulsiani, Hao Su, Leonidas J. Guibas, Alexei A. Efros, and Jitendra Malik. 2017 · 2017
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Attention is All you Need. In Advances in Neural Information Processing Systems (NIPS) . 5998–6008
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Flow-Guided Feature Aggregation for Video Object Detection. In Proc. of the IEEE International Conf. on Computer Vision (ICCV)
Xizhou Zhu, Yujie Wang, Jifeng Dai, Lu Yuan, and Yichen Wei. 2017 · 2017
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3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks. In Proc. of the IEEE International Conf. on Computer Vision (ICCV)
Chuhang Zou, Ersin Yumer, Jimei Yang, Duygu Ceylan, and Derek Hoiem. 2017 · 2017
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Learning Representations and Generative Models for 3D Point Clouds. In Proc. of the International Conf. on Machine learning (ICML)
Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas, and Leonidas J. Guibas. 2018 · 2018
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StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)
Yunjey Choi, Min-Je Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, and Jaegul Choo. 2018 · 2018
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Learning to Infer Graphics Programs from Hand-Drawn Images. In Advances in Neural Information Processing Systems (NIPS)
Kevin Ellis, Daniel Ritchie, Armando Solar-Lezama, and Joshua B. Tenenbaum. 2018 · 2018
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AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)
Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, and Mathieu Aubry. 2018 · 2018
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The ApolloScape Open Dataset for Autonomous Driving and its Application
Xinyu Huang, Peng Wang, Xinjing Cheng, Dingfu Zhou, Qichuan Geng, and Ruigang Yang. 2018 · 2018
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GAL: Geometric Adversarial Loss for Single-View 3D-Object Reconstruction. In Proc. of the European Conf. on Computer Vision (ECCV)
Li Jiang, Shaoshuai Shi, Xiaojuan Qi, and Jiaya Jia. 2018 · 2018
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Learning Category-Specific Mesh Reconstruction from Image Collections. In Proc. of the European Conf. on Computer Vision (ECCV)
Angjoo Kanazawa, Shubham Tulsiani, Alexei A. Efros, and Jitendra Malik. 2018 · 2018
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Deep Marching Cubes: Learning Explicit Surface Representations. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)
Yiyi Liao, Simon Donne, and Andreas Geiger. 2018 · 2018
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Im2Struct: Recovering 3D Shape Structure from a Single RGB Image. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)
Chengjie Niu, Jun Li, and Kai Xu. 2018 · 2018
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Scaling Neural Machine Translation. In Proceedings of the Third Conference on Machine Translation: Research Papers, WMT 2018, Belgium, Brussels, October 31 - November 1, 2018
Myle Ott, Sergey Edunov, David Grangier, and Michael Auli. 2018 · 2018
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Image Transformer. In Proc. of the International Conf. on Machine learning (ICML)
Niki Parmar, Ashish Vaswani, Jakob Uszkoreit, Lukasz Kaiser, Noam Shazeer, Alexander Ku, and Dustin Tran. 2018 · 2018
Cited alongside, same era.
CSGNet: Neural Shape Parser for Constructive Solid Geometry. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)
Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, and Subhransu Maji. 2018 · 2018
Cited alongside, same era.
Self-Attention with Relative Position Representations. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT, New Orleans, Louisiana, USA, June 1-6, 2018, Volume 2 (Short Papers)
Peter Shaw, Jakob Uszkoreit, and Ashish Vaswani. 2018 · 2018
Cited alongside, same era.
Learning 3D Shape Completion from Laser Scan Data with Weak Supervision. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)
David Stutz and Andreas Geiger. 2018 · 2018
Cited alongside, same era.
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention. In Proc. of the International Conf. on Machine learning (ICML)
Angelos Katharopoulos, Apoorv Vyas, Nikolaos Pappas, and François Fleuret. 2020 · 2020
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Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis
Yiyi Liao, Katja Schwarz, Lars M. Mescheder, and Andreas Geiger. 2020 · 2020
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NeRF: Representing scenes as neural radiance fields for view synthesis. In Proc. of the European Conf. on Computer Vision (ECCV)
Ben Mildenhall, Pratul P Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng. 2020 · 2020
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StructEdit: Learning Structural Shape Variations. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)
Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy J. Mitra, and Leonidas J. Guibas. 2020 · 2020
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PolyGen: An Autoregressive Generative Model of 3D Meshes. In Proc. of the International Conf. on Machine learning (ICML)
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Large Scale GAN Training for High Fidelity Natural Image Synthesis. In Proc. of the International Conf. on Learning Representations (ICLR)
Andrew Brock, Jeff Donahue, and Karen Simonyan. 2019 · 2019
Cited alongside, same era.
Learning Implicit Fields for Generative Shape Modeling. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)
Zhiqin Chen and Hao Zhang. 2019 · 2019
Cited alongside, same era.
Learning elementary structures for 3D shape generation and matching. In Advances in Neural Information Processing Systems (NIPS)
Theo Deprelle, Thibault Groueix, Matthew Fisher, Vladimir G Kim, Bryan C Russell, and Mathieu Aubry. 2019 · 2019
Cited alongside, same era.
Composite Shape Modeling via Latent Space Factorization. In Proc. of the IEEE International Conf. on Computer Vision (ICCV) . IEEE, 8139–8148
Anastasia Dubrovina, Fei Xia, Panos Achlioptas, Mira Shalah, Raphaël Groscot, and Leonidas J. Guibas. 2019 · 2019
Cited alongside, same era.
Learning Shape Templates with Structured Implicit Functions. In Proc. of the IEEE International Conf. on Computer Vision (ICCV)
Kyle Genova, Forrester Cole, Daniel Vlasic, Aaron Sarna, William T Freeman, and Thomas Funkhouser. 2019 · 2019
Cited alongside, same era.
Escaping Plato’s Cave: 3D Shape From Adversarial Rendering. In Proc. of the IEEE International Conf. on Computer Vision (ICCV)
Philipp Henzler, Niloy J Mitra, , and Tobias Ritschel. 2019 · 2019
Cited alongside, same era.
A Style-Based Generator Architecture for Generative Adversarial Networks. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)
Tero Karras, Samuli Laine, and Timo Aila. 2019 · 2019
Cited alongside, same era.
Learning to Describe Scenes with Programs. In Proc. of the International Conf. on Learning Representations (ICLR)
Yunchao Liu, Zheng Wu, Daniel Ritchie, William T Freeman, Joshua B Tenenbaum, and Jiajun Wu. 2019 · 2019
Cited alongside, same era.
Charlie Nash, Yaroslav Ganin, S. M. Ali Eslami, and Peter W. Battaglia. 2020 · 2020
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BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images. In Advances in Neural Information Processing Systems (NeurIPS)
Thu Nguyen-Phuoc, Christian Richardt, Long Mai, Yong-Liang Yang, and Niloy J. Mitra. 2020 · 2020
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Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)
Michael Niemeyer, Lars Mescheder, Michael Oechsle, and Andreas Geiger. 2020 · 2020
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Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)
Despoina Paschalidou, Luc van Gool, and Andreas Geiger. 2020 · 2020
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Convolutional Generation of Textured 3D Meshes. In Advances in Neural Information Processing Systems (NeurIPS)
Dario Pavllo, Graham Spinks, Thomas Hofmann, Marie-Francine Moens, and Aurélien Lucchi. 2020 · 2020
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GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis. In Advances in Neural Information Processing Systems (NeurIPS)
Katja Schwarz, Yiyi Liao, Michael Niemeyer, and Andreas Geiger. 2020 · 2020
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Interpreting the Latent Space of GANs for Semantic Face Editing. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)
Yujun Shen, Jinjin Gu, Xiaoou Tang, and Bolei Zhou. 2020 · 2020
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SceneFormer: Indoor Scene Generation with Transformers
Xinpeng Wang, Chandan Yeshwanth, and Matthias Nießner. 2020 · 2020
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PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)
Rundi Wu, Yixin Zhuang, Kai Xu, Hao Zhang, and Baoquan Chen. 2020 · 2020
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Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance. In Advances in Neural Information Processing Systems (NIPS)
Lior Yariv, Yoni Kasten, Dror Moran, Meirav Galun, Matan Atzmon, Ronen Basri, and Yaron Lipman. 2020 · 2020
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Pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)
Eric R. Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, and Gordon Wetzstein. 2021 · 2021
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Taming Transformers for High-Resolution Image Synthesis
Patrick Esser, Robin Rombach, and Björn Ommer. 2021 · 2021
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Octree Transformer: Autoregressive 3D Shape Generation on Hierarchically Structured Sequences
Moritz Ibing, Gregor Kobsik, and Leif Kobbelt. 2021 · 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 · 2021
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EditGAN: High-Precision Semantic Image Editing. In Advances in Neural Information Processing Systems (NIPS)
Huan Ling, Karsten Kreis, Daiqing Li, Seung Wook Kim, Antonio Torralba, and Sanja Fidler. 2021 · 2021
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DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes With Biharmonic Coordinates. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)
Minghua Liu, Minhyuk Sung, Radomír Mech, and Hao Su. 2021 · 2021
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SurfGen: Adversarial 3D Shape Synthesis with Explicit Surface Discriminators. In Proc. of the IEEE International Conf. on Computer Vision (ICCV)
Andrew Luo, Tianqin Li, Wen-Hao Zhang, and Tai Sing Lee. 2021 · 2021
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Diffusion Probabilistic Models for 3D Point Cloud Generation. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)
Shitong Luo and Wei Hu. 2021 · 2021
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Learning Generative Models of Textured 3D Meshes from Real-World Images. In Proc. of the IEEE International Conf. on Computer Vision (ICCV)
Dario Pavllo, Jonas Kohler, Thomas Hofmann, and Aurélien Lucchi. 2021 · 2021
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Learning transferable visual models from natural language supervision. In International Conference on Machine Learning
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Neural Geometric Level of Detail: Real-Time Rendering With Implicit 3D Shapes. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)
Towaki Takikawa, Joey Litalien, Kangxue Yin, Karsten Kreis, Charles T. Loop, Derek Nowrouzezahrai, Alec Jacobson, Morgan McGuire, and Sanja Fidler. 2021 · 2021
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PixelTransformer: Sample Conditioned Signal Generation. In Proc. of the International Conf. on Machine learning (ICML)
Shubham Tulsiani and Abhinav Gupta. 2021 · 2021
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A Geometric Analysis of Deep Generative Image Models and Its Applications. In Proc. of the International Conf. on Learning Representations (ICLR)
Binxu Wang and Carlos R. Ponce. 2021 · 2021
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Discovering 3D Parts from Image Collections. In Proc. of the IEEE International Conf. on Computer Vision (ICCV)
Chun-Han Yao, Wei-Chih Hung, Varun Jampani, and Ming-Hsuan Yang. 2021 · 2021
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PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers. In Proc. of the IEEE International Conf. on Computer Vision (ICCV)
Xumin Yu, Yongming Rao, Ziyi Wang, Zuyan Liu, Jiwen Lu, and Jie Zhou. 2021 · 2021
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Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering. In Proc. of the International Conf. on Learning Representations (ICLR)
Yuxuan Zhang, Wenzheng Chen, Huan Ling, Jun Gao, Yinan Zhang, Antonio Torralba, and Sanja Fidler. 2021 · 2021
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3D Shape Generation and Completion through Point-Voxel Diffusion. In Proc. of the IEEE International Conf. on Computer Vision (ICCV)
Linqi Zhou, Yilun Du, and Jiajun Wu. 2021 · 2021
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Efficient Geometry-aware 3D Generative Adversarial Networks. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)
Eric R. Chan, Connor Z. Lin, Matthew A. Chan, Koki Nagano, Boxiao Pan, Shalini De Mello, Orazio Gallo, Leonidas J. Guibas, Jonathan Tremblay, Sameh Khamis, Tero Karras, and Gordon Wetzstein. 2022 · 2022
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GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images. In Advances in Neural Information Processing Systems (NeurIPS)
Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, and Sanja Fidler. 2022 · 2022
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StyleNeRF: A Style-based 3D Aware Generator for High-resolution Image Synthesis. In Proc. of the International Conf. on Learning Representations (ICLR)
Jiatao Gu, Lingjie Liu, Peng Wang, and Christian Theobalt. 2022 · 2022
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SPAGHETTI: editing implicit shapes through part aware generation
Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung, and Daniel Cohen-Or. 2022 · 2022
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AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)
Paritosh Mittal, Yen-Chi Cheng, Maneesh Singh, and Shubham Tulsiani. 2022 · 2022
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LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery
Chun-Han Yao, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, and Varun Jampani. 2022 · 2022
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