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Controllable scene synthesis aims to create interactive environments for various industrial use cases.
A volumetric method for building complex models from range images
Brian Curless and Marc Levoy · 1996
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An algebraic model for parameterized shape editing
Martin Bokeloh, Michael Wand, Hans-Peter Seidel, and Vladlen Koltun · 2012
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Mo Jiao Chen, Bin Zhang, and San Xing Cao · 2013
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Shapenet: An information-rich 3d model repository, 2015
Angel X. Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, Jianxiong Xiao, Li Yi, and Fisher Yu · 2015
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Image retrieval using scene graphs
Justin Johnson, Ranjay Krishna, Michael Stark, Li-Jia Li, David A. Shamma, Michael S. Bernstein, and Li Fei-Fei · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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3d u-net: Learning dense volumetric segmentation from sparse annotation
Özgun Çiçek, Ahmed Abdulkadir, Soeren Lienkamp, Thomas Brox, and Olaf Ronneberger · 2016
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Generative image modeling using style and structure adversarial networks
Xiaolong Wang and Abhinav Gupta · 2016
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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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Visual genome: Connecting language and vision using crowdsourced dense image annotations
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Image generation from scene graphs
Justin Johnson, Agrim Gupta, and Li Fei-Fei · 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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Deep convolutional priors for indoor scene synthesis
Kai Wang, Manolis Savva, Angel X Chang, and Daniel Ritchie · 2018
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3d scene graph: A structure for unified semantics, 3d space, and camera
Iro Armeni, Zhi-Yang He, JunYoung Gwak, Amir R Zamir, Martin Fischer, Jitendra Malik, and Silvio Savarese · 2019
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Layoutvae: Stochastic scene layout generation from a label set
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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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Rio: 3d object instance re-localization in changing indoor environments
Johanna Wald, Armen Avetisyan, Nassir Navab, Federico Tombari, and Matthias Niessner · 2019
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Planit: Planning and instantiating indoor scenes with relation graph and spatial prior networks
Kai Wang, Yu-An Lin, Ben Weissmann, Manolis Savva, Angel X Chang, and Daniel Ritchie · 2019
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Pointflow: 3d point cloud generation with continuous normalizing flows
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Image generation from layout
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Scenegraphnet: Neural message passing for 3d indoor scene augmentation
Yang Zhou, Zachary While, and Evangelos Kalogerakis · 2019
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Meta-sim2: Unsupervised learning of scene structure for synthetic data generation
Jeevan Devaranjan, Amlan Kar, and Sanja Fidler · 2020
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A unified framework for piecewise semantic reconstruction in dynamic scenes via exploiting superpixel relations
Augmented reality and virtual reality displays: emerging technologies and future perspectives
Jianghao Xiong, En-Lin Hsiang, Ziqian He, Tao Zhan, and Shin-Tson Wu · 2021
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Luminous: Indoor scene generation for embodied ai challenges
Yizhou Zhao, Kaixiang Lin, Zhiwei Jia, Qiaozi Gao, Govind Thattai, Jesse Thomason, and Gaurav S. Sukhatme · 2021
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Make-a-scene: Scene-based text-to-image generation with human priors
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Hydra: A real-time spatial perception system for 3D scene graph construction and optimization
N. Hughes, Y. Chang, and L. Carlone · 2022
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Elucidating the design space of diffusion-based generative models
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Yan Di, Henrique Morimitsu, Zhiqiang Lou, and Xiangyang Ji · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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3-d scene graph: A sparse and semantic representation of physical environments for intelligent agents
Ue-Hwan Kim, Jin-Man Park, Taek-jin Song, and Jong-Hwan Kim · 2020
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Semantic graph based place recognition for 3d point clouds
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Towards unsupervised learning of generative models for 3d controllable image synthesis
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End-to-end optimization of scene layout
Andrew Luo, Zhoutong Zhang, Jiajun Wu, and Joshua B. Tenenbaum · 2020
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Total3dunderstanding: Joint layout, object pose and mesh reconstruction for indoor scenes from a single image
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SDEdit: Guided image synthesis and editing with stochastic differential equations
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From 2d to 3d: Re-thinking benchmarking of monocular depth prediction, 2022
Evin Pınar Örnek, Shristi Mudgal, Johanna Wald, Yida Wang, Nassir Navab, and Federico Tombari · 2022
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High-resolution image synthesis with latent diffusion models
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Photorealistic text-to-image diffusion models with deep language understanding
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Diffusion-based scene graph to image generation with masked contrastive pre-training, 2022
Ling Yang, Zhilin Huang, Yang Song, Shenda Hong, Guohao Li, Wentao Zhang, Bin Cui, Bernard Ghanem, and Ming-Hsuan Yang · 2022
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Sg-bot: Object rearrangement via coarse-to-fine robotic imagination on scene graphs, 2022
Guangyao Zhai, Xiaoni Cai, Dianye Huang, Yan Di, Fabian Manhardt, Federico Tombari, Nassir Navab, and Benjamin Busam · 2022
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4d-or: Semantic scene graphs for or domain modeling
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Cc3d: Layout-conditioned generation of compositional 3d scenes
Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Xingguang Yan, Gordon Wetzstein, Leonidas Guibas, and Andrea Tagliasacchi · 2023
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Instructpix2pix: Learning to follow image editing instructions
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Hila Chefer, Yuval Alaluf, Yael Vinker, Lior Wolf, and Daniel Cohen-Or · 2023
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SDFusion: Multimodal 3d shape completion, reconstruction, and generation
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Ccd-3dr: Consistent conditioning in diffusion for single-image 3d reconstruction, 2023
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U-red: Unsupervised 3d shape retrieval and deformation for partial point clouds
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Training-free structured diffusion guidance for compositional text-to-image synthesis
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Learning 3d scene priors with 2d supervision
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Adding conditional control to text-to-image diffusion models
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