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IMAGE GANS MEET DIFFERENTIABLE RENDERING FOR INVERSE GRAPHICS AND INTERPRETABLE 3D NEURAL RENDERING

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Sanja Fidler: Super excited about our @NVIDIAAI work on single-image #3D reconstruction that utilizes #StyleGAN as a multi-view training data generator. Only a few minutes of labeling required for results below! We also turn StyleGAN into a controllable 3D neural renderer. #MachineLearning

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Yuxuan Zhang: Excited to share our @nvidiaai work on reconstructing high-quality 3D models from monocular photographs and making StyleGAN a controllable neural renderer. @ChenWenzheng @HuanLing6 @JunGao33210520 Yinan Zhang, Antonio Torralba @FidlerSanja paper: https://arxiv.org/abs/2010.09125 https://t.co/ArYzysDCFH

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Found on Oct 26 2020 at https://arxiv.org/pdf/2010.09125.pdf

PDF content of a computer science paper: IMAGE GANS MEET DIFFERENTIABLE RENDERING FOR INVERSE GRAPHICS AND INTERPRETABLE 3D NEURAL RENDERING