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City scene generation has gained significant attention in autonomous driving, smart city development, and traffic simulation.
An efficient method for finding the minimum of a function of several variables without calculating derivatives
Michael JD Powell · 1964
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Design of cities: Revised edition
Edmund N Bacon · 1976
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Automated 3-d reconstruction of buildings and visualization of city models, 1996
Olof Henricsson, Andre Streilein, and Armin Gruen · 1996
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The regional city: Planning for the end of sprawl
Peter Calthorpe and William B Fulton · 2001
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Procedural modeling of cities
Yoav IH Parish and Pascal Müller · 2001
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Interactive image-based urban modeling
Vladimir Vezhnevets, Anton Konushin, and Alexey Ignatenko · 2007
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Interactive example-based urban layout synthesis
Daniel G Aliaga, Carlos A Vanegas, and Bedrich Benes · 2008
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Interactive procedural street modeling
Guoning Chen, Gregory Esch, Peter Wonka, Pascal Müller, and Eugene Zhang · 2008
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Interactive modeling of city layouts using layers of procedural content
Markus Lipp, Daniel Scherzer, Peter Wonka, and Michael Wimmer · 2011
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Metropolis procedural modeling
Jerry O Talton, Yu Lou, Steve Lesser, Jared Duke, Radomír Mech, and Vladlen Koltun · 2011
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Urban pattern: Layout design by hierarchical domain splitting
Yong-Liang Yang, Jun Wang, Etienne Vouga, and Peter Wonka · 2013
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Interactive learning of spatial knowledge for text to 3d scene generation
Angel Chang, Manolis Savva, and Christopher D Manning · 2014
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Structure completion for facade layouts
Lubin Fan, Przemyslaw Musialski, Ligang Liu, and Peter Wonka · 2014
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Sceneseer: 3d scene design with natural language
Angel X Chang, Mihail Eric, Manolis Savva, and Christopher D Manning · 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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Mikołaj Bińkowski, Danica J Sutherland, Michael Arbel, and Arthur Gretton · 2018
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Language-driven synthesis of 3d scenes from scene databases
Rui Ma, Akshay Gadi Patil, Matthew Fisher, Manyi Li, Sören Pirk, Binh-Son Hua, Sai-Kit Yeung, Xin Tong, Leonidas Guibas, and Hao Zhang · 2018
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Film: Visual reasoning with a general conditioning layer
Ethan Perez, Florian Strub, Harm De Vries, Vincent Dumoulin, and Aaron Courville · 2018
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An interactive scene generation using natural language
Yu Cheng, Yan Shi, Zhiyong Sun, Dezhi Feng, and Lixin Dong · 2019
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Layoutvae: Stochastic scene layout generation from a label set
Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, and Greg Mori · 2019
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Sentence-bert: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych · 2019
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Text2scene: Generating compositional scenes from textual descriptions
Fuwen Tan, Song Feng, and Vicente Ordonez · 2019
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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3d-front: 3d furnished rooms with layouts and semantics
Huan Fu, Bowen Cai, Lin Gao, Ling-Xiao Zhang, Jiaming Wang, Cao Li, Qixun Zeng, Chengyue Sun, Rongfei Jia, Binqiang Zhao, et al · 2021
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Lora: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 2021
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Learning transferable visual models from natural language supervision
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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Score-based generative modeling in latent space
Arash Vahdat, Karsten Kreis, and Jan Kautz · 2021
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Sceneformer: Indoor scene generation with transformers
Xinpeng Wang, Chandan Yeshwanth, and Matthias Nießner · 2021
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Blended diffusion for text-driven editing of natural images
Omri Avrahami, Dani Lischinski, and Ohad Fried · 2022
Cited alongside, same era.
Efficient geometry-aware 3d generative adversarial networks
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, et al · 2022
Cited alongside, same era.
Diffusion-LM improves controllable text generation
Xiang Lisa Li, John Thickstun, Ishaan Gulrajani, Percy Liang, and Tatsunori Hashimoto · 2022
Cited alongside, same era.
Zero-1-to-3: Zero-shot one image to 3d object
Ruoshi Liu, Rundi Wu, Basile Van Hoorick, Pavel Tokmakov, Sergey Zakharov, and Carl Vondrick · 2023
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Videofusion: Decomposed diffusion models for high-quality video generation
Zhengxiong Luo, Dayou Chen, Yingya Zhang, Yan Huang, Liang Wang, Yujun Shen, Deli Zhao, Jingren Zhou, and Tieniu Tan · 2023
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Gpt-4 technical report, 2023
OpenAI · 2023
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GPT-4V(ision) System Card, 2023
OpenAI · 2023
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Chasing consistency in text-to-3d generation from a single image
Yichen Ouyang, Wenhao Chai, Jiayi Ye, Dapeng Tao, Yibing Zhan, and Gaoang Wang · 2023
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Scalable diffusion models with transformers
William Peebles and Saining Xie · 2023
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Ben Poole, Ajay Jain, Jonathan T Barron, and Ben Mildenhall · 2022
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Cited alongside, same era.
Sgam: Building a virtual 3d world through simultaneous generation and mapping
Yuan Shen, Wei-Chiu Ma, and Shenlong Wang · 2022
Cited alongside, same era.
Lion: Latent point diffusion models for 3d shape generation
Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, Karsten Kreis, et al · 2022
Cited alongside, same era.
Lion: Latent point diffusion models for 3d shape generation
Xiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, and Karsten Kreis · 2022
Cited alongside, same era.
Image reference-guided fashion design with structure-aware transfer by diffusion models
Shidong Cao, Wenhao Chai, Shengyu Hao, and Gaoang Wang · 2023
Cited alongside, same era.
Difffashion: Reference-based fashion design with structure-aware transfer by diffusion models
Shidong Cao, Wenhao Chai, Shengyu Hao, Yanting Zhang, Hangyue Chen, and Gaoang Wang · 2023
Cited alongside, same era.
Later among the works it cites.
Sdxl: Improving latent diffusion models for high-resolution image synthesis
Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, and Robin Rombach · 2023
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Dreamfusion: Text-to-3d using 2d diffusion
Ben Poole, Ajay Jain, Jonathan T. Barron, and Ben Mildenhall · 2023
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Layoutllm-t2i: Eliciting layout guidance from llm for text-to-image generation
Leigang Qu, Shengqiong Wu, Hao Fei, Liqiang Nie, and Tat-Seng Chua · 2023
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Sayplan: Grounding large language models using 3d scene graphs for scalable task planning
Krishan Rana, Jesse Haviland, Sourav Garg, Jad Abou-Chakra, Ian Reid, and Niko Suenderhauf · 2023
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Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman · 2023
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Moviechat: From dense token to sparse memory for long video understanding
Enxin Song, Wenhao Chai, Guanhong Wang, Yucheng Zhang, Haoyang Zhou, Feiyang Wu, Xun Guo, Tian Ye, Yan Lu, Jenq-Neng Hwang, et al · 2023
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3d-gpt: Procedural 3d modeling with large language models
Chunyi Sun, Junlin Han, Weijian Deng, Xinlong Wang, Zishan Qin, and Stephen Gould · 2023
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Jiapeng Tang, Yinyu Nie, Lev Markhasin, Angela Dai, Justus Thies, and Matthias Nießner · 2023
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Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation
Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, and Jun Zhu · 2023
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Lego-net: Learning regular rearrangements of objects in rooms
Qiuhong Anna Wei, Sijie Ding, Jeong Joon Park, Rahul Sajnani, Adrien Poulenard, Srinath Sridhar, and Leonidas Guibas · 2023
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Citydreamer: Compositional generative model of unbounded 3d cities
Haozhe Xie, Zhaoxi Chen, Fangzhou Hong, and Ziwei Liu · 2023
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The dawn of lmms: Preliminary explorations with gpt-4v (ision)
Zhengyuan Yang, Linjie Li, Kevin Lin, Jianfeng Wang, Chung-Ching Lin, Zicheng Liu, and Lijuan Wang · 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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Text2nerf: Text-driven 3d scene generation with neural radiance fields
Jingbo Zhang, Xiaoyu Li, Ziyu Wan, Can Wang, and Jing Liao · 2023
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Adding conditional control to text-to-image diffusion models
Lvmin Zhang, Anyi Rao, and Maneesh Agrawala · 2023
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Yiqun Zhao, Zibo Zhao, Jing Li, Sixun Dong, and Shenghua Gao · 2023
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See and think: Embodied agent in virtual environment
Zhonghan Zhao, Wenhao Chai, Xuan Wang, Li Boyi, Shengyu Hao, Shidong Cao, Tian Ye, Jenq-Neng Hwang, and Gaoang Wang · 2023
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Scenecraft: An llm agent for synthesizing 3d scene as blender code, 2024
Ziniu Hu, Ahmet Iscen, Aashi Jain, Thomas Kipf, Yisong Yue, David A. Ross, Cordelia Schmid, and Alireza Fathi · 2024
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Moviechat+: Question-aware sparse memory for long video question answering
Enxin Song, Wenhao Chai, Tian Ye, Jenq-Neng Hwang, Xi Li, and Gaoang Wang · 2024
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Holodeck: Language guided generation of 3d embodied ai environments
Yue Yang, Fan-Yun Sun, Luca Weihs, Eli VanderBilt, Alvaro Herrasti, Winson Han, Jiajun Wu, Nick Haber, Ranjay Krishna, Lingjie Liu, et al · 2024
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Hierarchical auto-organizing system for open-ended multi-agent navigation
Zhonghan Zhao, Kewei Chen, Dongxu Guo, Wenhao Chai, Tian Ye, Yanting Zhang, and Gaoang Wang · 2024
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Do we really need a complex agent system? distill embodied agent into a single model
Zhonghan Zhao, Ke Ma, Wenhao Chai, Xuan Wang, Kewei Chen, Dongxu Guo, Yanting Zhang, Hongwei Wang, and Gaoang Wang · 2024
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