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Generative models excel at mimicking real scenes, suggesting they might inherently encode important intrinsic scene properties.
Recovering intrinsic scene characteristics
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
Michael Gutmann and Aapo Hyvärinen · 2010
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A connection between score matching and denoising autoencoders
Pascal Vincent · 2011
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Depth map prediction from a single image using a multi-scale deep network
David Eigen, Christian Puhrsch, and Rob Fergus · 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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Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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Lsun: Construction of a large-scale image dataset using deep learning with humans in the loop
Fisher Yu, Ari Seff, Yinda Zhang, Shuran Song, Thomas Funkhouser, and Jianxiong Xiao · 2015
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Pixel recurrent neural networks
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Tero Karras, Samuli Laine, and Timo Aila · 2019
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Diode: A dense indoor and outdoor depth dataset
Igor Vasiljevic, Nick Kolkin, Shanyi Zhang, Ruotian Luo, Haochen Wang, Falcon Z Dai, Andrea F Daniele, Mohammadreza Mostajabi, Steven Basart, Matthew R Walter, et al · 2019
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Inverserendernet: Learning single image inverse rendering
Ye Yu and William AP Smith · 2019
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Understanding the role of individual units in a deep neural network
David Bau, Jun-Yan Zhu, Hendrik Strobelt, Agata Lapedriza, Bolei Zhou, and Antonio Torralba · 2020
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Taming transformers for high-resolution image synthesis, 2020
Patrick Esser, Robin Rombach, and Björn Ommer · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Rgbd-gan: Unsupervised 3d representation learning from natural image datasets via rgbd image synthesis
Atsuhiro Noguchi and Tatsuya Harada · 2020
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Labels4free: Unsupervised segmentation using stylegan
Rameen Abdal, Peihao Zhu, Niloy J Mitra, and Peter Wonka · 2021
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Ainaz Eftekhar, Alexander Sax, Jitendra Malik, and Amir Zamir · 2021
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Intrinsic image decomposition using paradigms
David Forsyth and Jason J Rock · 2021
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Generative models as a data source for multiview representation learning
Ali Jahanian, Xavier Puig, Yonglong Tian, and Phillip Isola · 2021
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Semantic segmentation with generative models: Semi-supervised learning and strong out-of-domain generalization
Daiqing Li, Junlin Yang, Karsten Kreis, Antonio Torralba, and Sanja Fidler · 2021
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Chenlin Meng, Yutong He, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, and Stefano Ermon · 2021
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René Ranftl, Alexey Bochkovskiy, and Vladlen Koltun · 2021
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Beyond surface statistics: Scene representations in a latent diffusion model
Yida Chen, Fernanda Viégas, and Martin Wattenberg · 2023
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Semantic hierarchy emerges in deep generative representations for scene synthesis
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Dual contrastive loss and attention for gans
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Generative modeling for multi-task visual learning
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Common diffusion noise schedules and sample steps are flawed
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Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models
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