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Vincent Sitzmann | Joshua B. Tenenbaum | Yilun Du | Katherine M. Collins | J. Tenenbaum | Yilun Du | V. Sitzmann | Katherine Collins
[1] Stéphane Lafon,et al. Diffusion maps , 2006 .
[2] Charles K. Chui,et al. Special issue on diffusion maps and wavelets , 2006 .
[3] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[4] Andreas Geiger,et al. GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis , 2020, NeurIPS.
[5] Yee Whye Teh,et al. Generative Models as Distributions of Functions , 2021, ArXiv.
[6] Heiga Zen,et al. WaveNet: A Generative Model for Raw Audio , 2016, SSW.
[7] Thomas Funkhouser,et al. Deep Structured Implicit Functions , 2019, ArXiv.
[8] Marc Pollefeys,et al. Convolutional Occupancy Networks , 2020, ECCV.
[9] Bernhard Schölkopf,et al. Nonlinear Component Analysis as a Kernel Eigenvalue Problem , 1998, Neural Computation.
[10] Leonidas J. Guibas,et al. Learning Representations and Generative Models for 3D Point Clouds , 2017, ICML.
[11] Richard A. Newcombe,et al. DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[12] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[13] Pratul P. Srinivasan,et al. NeRF , 2020, ECCV.
[14] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[15] Chenliang Xu,et al. Deep Cross-Modal Audio-Visual Generation , 2017, ACM Multimedia.
[16] Sebastian Nowozin,et al. Occupancy Networks: Learning 3D Reconstruction in Function Space , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[18] Alexander M. Bronstein,et al. DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling , 2017, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).
[19] Jaakko Lehtinen,et al. Progressive Growing of GANs for Improved Quality, Stability, and Variation , 2017, ICLR.
[20] D. Donoho,et al. Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[21] Changyou Chen,et al. Learning Manifold Implicitly via Explicit Heat-Kernel Learning , 2020, NeurIPS.
[22] Sepp Hochreiter,et al. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium , 2017, NIPS.
[23] Yaron Lipman,et al. Implicit Geometric Regularization for Learning Shapes , 2020, ICML.
[24] Ali Razavi,et al. Generating Diverse High-Fidelity Images with VQ-VAE-2 , 2019, NeurIPS.
[25] Mikhail Belkin,et al. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation , 2003, Neural Computation.
[26] Gordon Wetzstein,et al. Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations , 2019, NeurIPS.
[27] Eddy Ilg,et al. Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction , 2020, ECCV.
[28] Thomas Funkhouser,et al. Local Implicit Grid Representations for 3D Scenes , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Jaakko Lehtinen,et al. Improved Precision and Recall Metric for Assessing Generative Models , 2019, NeurIPS.
[30] Gordon Wetzstein,et al. pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis , 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Karen Simonyan,et al. Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders , 2017, ICML.
[32] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[33] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[34] Jaakko Lehtinen,et al. Analyzing and Improving the Image Quality of StyleGAN , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Gordon Wetzstein,et al. MetaSDF: Meta-learning Signed Distance Functions , 2020, NeurIPS.
[36] Chris Donahue,et al. Adversarial Audio Synthesis , 2018, ICLR.
[37] Anders P. Eriksson,et al. Implicit Surface Representations As Layers in Neural Networks , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[38] Ilya Sutskever,et al. Zero-Shot Text-to-Image Generation , 2021, ICML.
[39] Hao Zhang,et al. Learning Implicit Fields for Generative Shape Modeling , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[40] Yaron Lipman,et al. SAL: Sign Agnostic Learning of Shapes From Raw Data , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[41] Mohamed Elhoseiny,et al. Adversarial Generation of Continuous Images , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[42] H. Sebastian Seung,et al. The Manifold Ways of Perception , 2000, Science.
[43] Gordon Wetzstein,et al. Implicit Neural Representations with Periodic Activation Functions , 2020, NeurIPS.
[44] Quoc V. Le,et al. HyperNetworks , 2016, ICLR.
[45] Max Welling,et al. Semi-supervised Learning with Deep Generative Models , 2014, NIPS.
[46] Koray Kavukcuoglu,et al. Pixel Recurrent Neural Networks , 2016, ICML.
[47] Thomas A. Funkhouser,et al. Learning Shape Templates With Structured Implicit Functions , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[48] Lin Sun,et al. Laplacian Auto-Encoders: An explicit learning of nonlinear data manifold , 2015, Neurocomputing.