Score-based Generative Modeling in Latent Space

10 June 2021

Papers citing "Score-based Generative Modeling in Latent Space"

50 / 123 papers shown

Title
Refining Deep Generative Models via Discriminator Gradient Flow Abdul Fatir Ansari Ming Liang Ang Harold Soh 61 49 0 01 Dec 2020
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 330 6,453 0 26 Nov 2020
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images R. Child BDL VLM 177 350 0 20 Nov 2020
Dual Contradistinctive Generative Autoencoder Gaurav Parmar Dacheng Li Kwonjoon Lee Zhuowen Tu GAN 44 82 0 19 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 258 7,356 0 06 Oct 2020
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models Zhisheng Xiao Karsten Kreis Jan Kautz Arash Vahdat 52 124 0 01 Oct 2020
DiffWave: A Versatile Diffusion Model for Audio Synthesis Zhifeng Kong Ming-Yu Liu Jiaji Huang Kexin Zhao Bryan Catanzaro DiffM BDL 147 1,456 0 21 Sep 2020
Adversarial score matching and improved sampling for image generation Alexia Jolicoeur-Martineau Remi Piche-Taillefer Rémi Tachet des Combes Ioannis Mitliagkas DiffM 60 126 0 11 Sep 2020
WaveGrad: Estimating Gradients for Waveform Generation Nanxin Chen Yu Zhang Heiga Zen Ron J. Weiss Mohammad Norouzi William Chan DiffM BDL 66 791 0 02 Sep 2020
Learning Gradient Fields for Shape Generation Ruojin Cai Guandao Yang Hadar Averbuch-Elor Jinwei Gu Serge J. Belongie Noah Snavely B. Hariharan 3DPC 102 286 0 14 Aug 2020
NVAE: A Deep Hierarchical Variational Autoencoder Arash Vahdat Jan Kautz BDL 69 910 0 08 Jul 2020
Efficient Learning of Generative Models via Finite-Difference Score Matching Tianyu Pang Kun Xu Chongxuan Li Yang Song Stefano Ermon Jun Zhu DiffM 59 55 0 07 Jul 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 604 18,036 0 19 Jun 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 230 1,151 0 16 Jun 2020
Training Generative Adversarial Networks with Limited Data Tero Karras M. Aittala Janne Hellsten S. Laine J. Lehtinen Timo Aila GAN 148 1,885 0 11 Jun 2020
The Expressive Power of a Class of Normalizing Flow Models Zhifeng Kong Kamalika Chaudhuri TPM 63 53 0 31 May 2020
Jukebox: A Generative Model for Music Prafulla Dhariwal Heewoo Jun Christine Payne Jong Wook Kim Alec Radford Ilya Sutskever VLM 110 746 0 30 Apr 2020
Adversarial Latent Autoencoders Stanislav Pidhorskyi Donald Adjeroh Gianfranco Doretto GAN DRL 87 261 0 09 Apr 2020
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space Chunyuan Li Xiang Gao Yuan Li Baolin Peng Xiujun Li Yizhe Zhang Jianfeng Gao SSL DRL 74 182 0 05 Apr 2020
Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling Tong Che Ruixiang Zhang Jascha Narain Sohl-Dickstein Hugo Larochelle Liam Paull Yuan Cao Yoshua Bengio DiffM DRL 60 114 0 12 Mar 2020
Permutation Invariant Graph Generation via Score-Based Generative Modeling Chenhao Niu Yang Song Jiaming Song Shengjia Zhao Aditya Grover Stefano Ermon DiffM 66 270 0 02 Mar 2020
VFlow: More Expressive Generative Flows with Variational Data Augmentation Jianfei Chen Cheng Lu Biqi Chenli Jun Zhu Tian Tian DRL 57 63 0 22 Feb 2020
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models Chin-Wei Huang Laurent Dinh Aaron Courville DRL 66 89 0 17 Feb 2020
Learning Energy-Based Models in High-Dimensional Spaces with Multi-scale Denoising Score Matching Zengyi Li Yubei Chen Friedrich T. Sommer DiffM 43 28 0 17 Oct 2019
Discriminator optimal transport A. Tanaka OT 51 54 0 15 Oct 2019
Efficient Graph Generation with Graph Recurrent Attention Networks Renjie Liao Yujia Li Yang Song Shenlong Wang C. Nash William L. Hamilton David Duvenaud R. Urtasun R. Zemel GNN 131 334 0 02 Oct 2019
PixelVAE++: Improved PixelVAE with Discrete Prior Hossein Sadeghi Evgeny Andriyash W. Vinci L. Buffoni Mohammad H. Amin BDL DRL 30 33 0 26 Aug 2019
AutoGAN: Neural Architecture Search for Generative Adversarial Networks Xinyu Gong Shiyu Chang Yi Ding Zhangyang Wang GAN 62 263 0 11 Aug 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 234 3,902 0 12 Jul 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2 Ali Razavi Aaron van den Oord Oriol Vinyals DRL BDL 132 1,812 0 02 Jun 2019
All SMILES Variational Autoencoder Zaccary Alperstein Artem Cherkasov J. Rolfe DRL 49 38 0 30 May 2019
Sliced Score Matching: A Scalable Approach to Density and Score Estimation Yang Song Sahaj Garg Jiaxin Shi Stefano Ermon 102 417 0 17 May 2019
Making Convolutional Networks Shift-Invariant Again Richard Y. Zhang OOD 89 797 0 25 Apr 2019
Generating Long Sequences with Sparse Transformers R. Child Scott Gray Alec Radford Ilya Sutskever 115 1,896 0 23 Apr 2019
Augmented Neural ODEs Emilien Dupont Arnaud Doucet Yee Whye Teh BDL 144 628 0 02 Apr 2019
From Variational to Deterministic Autoencoders Partha Ghosh Mehdi S. M. Sajjadi Antonio Vergari Michael J. Black Bernhard Schölkopf DRL 75 272 0 29 Mar 2019
Diagnosing and Enhancing VAE Models Bin Dai David Wipf DRL 59 380 0 14 Mar 2019
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling Lars Maaløe Marco Fraccaro Valentin Liévin Ole Winther BDL DRL 53 214 0 06 Feb 2019
Preventing Posterior Collapse with delta-VAEs Ali Razavi Aaron van den Oord Ben Poole Oriol Vinyals DRL 84 171 0 10 Jan 2019
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders Xuezhe Ma Chunting Zhou Eduard H. Hovy DRL 53 39 0 06 Jan 2019
Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling Jacob Menick Nal Kalchbrenner 72 151 0 04 Dec 2018
Resampled Priors for Variational Autoencoders Matthias Bauer A. Mnih BDL DRL 105 111 0 26 Oct 2018
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl Ricky T. Q. Chen J. Bettencourt Ilya Sutskever David Duvenaud DRL 136 873 0 02 Oct 2018
Variational Autoencoder with Implicit Optimal Priors Hiroshi Takahashi Tomoharu Iwata Yuki Yamanaka Masanori Yamada Satoshi Yagi DRL 65 64 0 14 Sep 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 290 3,129 0 09 Jul 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 409 5,103 0 19 Jun 2018
Deep Energy Estimator Networks Saeed Saremi Arash Mehrjou Bernhard Schölkopf Aapo Hyvarinen 52 75 0 21 May 2018
DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors Arash Vahdat Evgeny Andriyash W. Macready 43 49 0 18 May 2018
Graphite: Iterative Generative Modeling of Graphs Aditya Grover Aaron Zweig Stefano Ermon BDL 103 303 0 28 Mar 2018
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations Arash Vahdat W. Macready Zhengbing Bian Amir Khoshaman Evgeny Andriyash 64 76 0 14 Feb 2018