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3D city generation is a desirable yet challenging task, since humans are more sensitive to structural distortions in urban environments.
An image synthesizer
Ken Perlin · 1985
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Interactive procedural street modeling
Guoning Chen, Gregory Esch, Peter Wonka, Pascal Müller, and Eugene Zhang · 2008
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Are we ready for autonomous driving? the KITTI vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
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Generative adversarial nets
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville, and Yoshua Bengio · 2014
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Human3.6M: Large scale datasets and predictive methods for 3D human sensing in natural environments
Catalin Ionescu, Dragos Papava, Vlad Olaru, and Cristian Sminchisescu · 2014
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The cityscapes dataset for semantic urban scene understanding
Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, and Bernt Schiele · 2016
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Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
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Structure-from-motion revisited
Johannes L. Schönberger and Jan-Michael Frahm · 2016
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Learning a probabilistic latent space of object shapes via 3D generative-adversarial modeling
Jiajun Wu, Chengkai Zhang, Tianfan Xue, Bill Freeman, and Josh Tenenbaum · 2016
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ScanNet: Richly-annotated 3D reconstructions of indoor scenes
Angela Dai, Angel X. Chang, Manolis Savva, Maciej Halber, Thomas A. Funkhouser, and Matthias Nießner · 2017
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3d shape induction from 2D views of multiple objects
Matheus Gadelha, Subhransu Maji, and Rui Wang · 2017
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GANs trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Geometric GAN
Jae Hyun Lim and Jong Chul Ye · 2017
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Neural discrete representation learning
Aäron van den Oord, Oriol Vinyals, and Koray Kavukcuoglu · 2017
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Demystifying MMD GANs
Mikolaj Binkowski, Danica J. Sutherland, Michael Arbel, and Arthur Gretton · 2018
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UnFlow: Unsupervised learning of optical flow with a bidirectional census loss
Simon Meister, Junhwa Hur, and Stefan Roth · 2018
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HoloGAN: Unsupervised learning of 3D representations from natural images
Thu Nguyen-Phuoc, Chuan Li, Lucas Theis, Christian Richardt, and Yong-Liang Yang · 2019
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Semantic image synthesis with spatially-adaptive normalization
Taesung Park, Ming-Yu Liu, Ting-Chun Wang, and Jun-Yan Zhu · 2019
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Generating diverse high-fidelity images with VQ-VAE-2
Ali Razavi, Aäron van den Oord, and Oriol Vinyals · 2019
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The Replica Dataset: A digital replica of indoor spaces
Julian Straub, Thomas Whelan, Lingni Ma, Yufan Chen, Erik Wijmans, Simon Green, Jakob J. Engel, Raul Mur-Artal, Carl Yuheng Ren, Shobhit Verma, Anton Clarkson, Mingfei Yan, Brian Budge, Yajie Yan, Xiaqing Pan, June Yon, Yuyang Zou, Kimberly Leon, Nigel Carter, Jesus Briales, Tyler Gillingham, Elias Mueggler, Luis Pesqueira, Manolis Savva, Dhruv Batra, Hauke M. Strasdat, Renzo De Nardi, Michael Goesele, Steven Lovegrove, and Richard A. Newcombe · 2019
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Spacenet MVOI: A multi-view overhead imagery dataset
Nicholas Weir, David Lindenbaum, Alexei Bastidas, Adam Van Etten, Varun Kumar Vijay, Sean McPherson, Jacob Shermeyer, and Hanlin Tang · 2019
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Pix2Vox: Context-aware 3D reconstruction from single and multi-view images
Haozhe Xie, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou, and Shengping Zhang · 2019
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Analyzing and improving the image quality of stylegan
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2020
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World-consistent video-to-video synthesis
Arun Mallya, Ting-Chun Wang, Karan Sapra, and Ming-Yu Liu · 2020
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NeRF: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng · 2020
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Pix2Vox++: Multi-scale context-aware 3D object reconstruction from single and multiple images
StyleNeRF: A style-based 3D aware generator for high-resolution image synthesis
Jiatao Gu, Lingjie Liu, Peng Wang, and Christian Theobalt · 2022
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InfiniteNature-Zero: Learning perpetual view generation of natural scenes from single images
Zhengqi Li, Qianqian Wang, Noah Snavely, and Angjoo Kanazawa · 2022
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InfinityGan: Towards infinite-pixel image synthesis
Chieh Hubert Lin, Hsin-Ying Lee, Yen-Chi Cheng, Sergey Tulyakov, and Ming-Hsuan Yang · 2022
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Capturing, reconstructing, and simulating: The urbanscene3d dataset
Liqiang Lin, Yilin Liu, Yue Hu, Xingguang Yan, Ke Xie, and Hui Huang · 2022
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StyleSDF: High-resolution 3D-consistent image and geometry generation
Roy Or-El, Xuan Luo, Mengyi Shan, Eli Shechtman, Jeong Joon Park, and Ira Kemelmacher-Shlizerman · 2022
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Haozhe Xie, Hongxun Yao, Shengping Zhang, Shangchen Zhou, and Wenxiu Sun · 2020
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HoliCity: A city-scale data platform for learning holistic 3D structures
Yichao Zhou, Jingwei Huang, Xili Dai, Linjie Luo, Zhili Chen, and Yi Ma · 2020
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Unconstrained scene generation with locally conditioned radiance fields
Terrance DeVries, Miguel Ángel Bautista, Nitish Srivastava, Graham W. Taylor, and Joshua M. Susskind · 2021
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Taming transformers for high-resolution image synthesis
Patrick Esser, Robin Rombach, and Björn Ommer · 2021
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3D-FRONT: 3D furnished rooms with layouts and semantics
Huan Fu, Bowen Cai, Lin Gao, Lingxiao Zhang, Jiaming Wang, Cao Li, Qixun Zeng, Chengyue Sun, Rongfei Jia, Binqiang Zhao, and Hao Zhang · 2021
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GANCraft: Unsupervised 3D neural rendering of minecraft worlds
Zekun Hao, Arun Mallya, Serge J. Belongie, and Ming-Yu Liu · 2021
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A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2021
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René Ranftl, Katrin Lasinger, David Hafner, Konrad Schindler, and Vladlen Koltun · 2022
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SGAM: building a virtual 3D world through simultaneous generation and mapping
Yuan Shen, Wei-Chiu Ma, and Shenlong Wang · 2022
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3D-aware indoor scene synthesis with depth priors
Zifan Shi, Yujun Shen, Jiapeng Zhu, Dit-Yan Yeung, and Qifeng Chen · 2022
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GIRAFFE HD: A high-resolution 3D-aware generative model
Yang Xue, Yuheng Li, Krishna Kumar Singh, and Yong Jae Lee · 2022
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Towards better user studies in computer graphics and vision
Zoya Bylinskii, Laura Mariah Herman, Aaron Hertzmann, Stefanie Hutka, and Yile Zhang · 2023
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Persistent Nature: A generative model of unbounded 3D worlds
Lucy Chai, Richard Tucker, Zhengqi Li, Phillip Isola, and Noah Snavely · 2023
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SceneDreamer: Unbounded 3D scene generation from 2D image collections
Zhaoxi Chen, Guangcong Wang, and Ziwei Liu · 2023
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EVA3D: compositional 3D human generation from 2D image collections
Fangzhou Hong, Zhaoxi Chen, Yushi Lan, Liang Pan, and Ziwei Liu · 2023
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DreamHuman: Animatable 3D avatars from text
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OmniCity: Omnipotent city understanding with multi-level and multi-view images
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InfiniCity: Infinite-scale city synthesis
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DreamBooth3D: Subject-driven text-to-3D generation
Amit Raj, Srinivas Kaza, Ben Poole, Michael Niemeyer, Nataniel Ruiz, Ben Mildenhall, Shiran Zada, Kfir Aberman, Michael Rubinstein, Jonathan T. Barron, Yuanzhen Li, and Varun Jampani · 2023
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OmniObject3D: Large-vocabulary 3D object dataset for realistic perception, reconstruction and generation
Tong Wu, Jiarui Zhang, Xiao Fu, Yuxin Wang, Jiawei Ren, Liang Pan, Wayne Wu, Lei Yang, Jiaqi Wang, Chen Qian, Dahua Lin, and Ziwei Liu · 2023
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StyleAvatar3D: Leveraging image-text diffusion models for high-fidelity 3D avatar generation
Chi Zhang, Yiwen Chen, Yijun Fu, Zhenglin Zhou, Gang Yu, Billzb Wang, Bin Fu, Tao Chen, Guosheng Lin, and Chunhua Shen · 2023
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