NVAE: A Deep Hierarchical Variational Autoencoder

8 July 2020

Papers citing "NVAE: A Deep Hierarchical Variational Autoencoder"

50 / 225 papers shown

Title
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation Jiatao Gu Shuangfei Zhai Yizhe Zhang Miguel Angel Bautista J. Susskind DiffM 55 26 0 10 Oct 2022
Visual Prompt Tuning for Generative Transfer Learning Kihyuk Sohn Yuan Hao José Lezama Luisa F. Polanía Huiwen Chang Han Zhang Irfan Essa Lu Jiang VPVLM VLM 64 81 0 03 Oct 2022
GFlowNets and variational inference Nikolay Malkin Salem Lahlou T. Deleu Xu Ji J. E. Hu Katie Everett Dinghuai Zhang Yoshua Bengio BDL 136 78 0 02 Oct 2022
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion Fabian Duffhauss Ngo Anh Vien Hanna Ziesche Gerhard Neumann 38 4 0 22 Sep 2022
Knowledge-Aware Bayesian Deep Topic Model Dongsheng Wang Yishi Xu Miaoge Li Zhibin Duan Chaojie Wang Bo Chen Mingyuan Zhou BDL 38 15 0 20 Sep 2022
MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation Chuanxia Zheng L. Vuong Jianfei Cai Dinh Q. Phung MQ 73 72 0 19 Sep 2022
Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model Zhisheng Xiao Tian Han 66 15 0 19 Sep 2022
Gromov-Wasserstein Autoencoders Nao Nakagawa Ren Togo Takahiro Ogawa Miki Haseyama GAN DRL 26 11 0 15 Sep 2022
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models Chen Henry Wu Saman Motamed Shaunak Srivastava Fernando de la Torre VLM DiffM 21 34 0 14 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 226 1,314 0 02 Sep 2022
Lossy Image Compression with Quantized Hierarchical VAEs Zhihao Duan Ming Lu Zhan Ma F. Zhu 46 43 0 27 Aug 2022
Unsupervisedly Prompting AlphaFold2 for Few-Shot Learning of Accurate Folding Landscape and Protein Structure Prediction Jun Zhang Sirui Liu Mengyun Chen Haotian Chu Min Wang ... Yue Yang Boxin Xue Lijiang Yang Yuan Liu Y. Gao 28 5 0 20 Aug 2022
Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance Bahjat Kawar Roy Ganz Michael Elad DiffM 29 38 0 18 Aug 2022
Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model Xiulong Yang Sheng-Min Shih Yinlin Fu Xiaoting Zhao Shihao Ji DiffM 33 56 0 16 Aug 2022
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation Jinyi Hu Xiaoyuan Yi Wenhao Li Maosong Sun Xing Xie 41 21 0 13 Jul 2022
AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE Chang-Tien Lu Shen Zheng Zirui Wang O. Dib Gaurav Gupta 34 3 0 28 Jun 2022
Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation Sheng-liang Li Guangcong Zheng Haibo Wang Taiping Yao Yang Chen Shoudong Ding Xi Li DiffM 27 22 0 23 Jun 2022
The ArtBench Dataset: Benchmarking Generative Models with Artworks Peiyuan Liao Xiuyu Li Xihui Liu Kurt Keutzer 25 48 0 22 Jun 2022
A Flexible Diffusion Model Weitao Du Tao Yang Heidi Zhang Yuanqi Du DiffM 38 11 0 17 Jun 2022
PILC: Practical Image Lossless Compression with an End-to-end GPU Oriented Neural Framework Ning Kang Shanzhao Qiu Shifeng Zhang Zhenguo Li Shutao Xia 22 17 0 10 Jun 2022
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization Adrián Javaloy Maryam Meghdadi Isabel Valera 32 27 0 09 Jun 2022
Recent Advances for Quantum Neural Networks in Generative Learning Jinkai Tian Xiaoyun Sun Yuxuan Du Shanshan Zhao Qing Liu ... Xingyao Wu Min-hsiu Hsieh Tongliang Liu Wen-Bin Yang Dacheng Tao AI4CE 39 82 0 07 Jun 2022
Towards Improving the Generation Quality of Autoregressive Slot VAEs Patrick Emami Pan He Sanjay Ranka Anand Rangarajan OCL 38 1 0 03 Jun 2022
Top-down inference in an early visual cortex inspired hierarchical Variational Autoencoder F. Csikor B. Meszéna Bence Szabó Gergő Orbán BDL DRL 29 5 0 01 Jun 2022
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 186 49 0 30 May 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models Dongjun Kim Byeonghu Na S. Kwon Dongsoo Lee Wanmo Kang Il-Chul Moon DiffM 213 52 0 27 May 2022
Structured Uncertainty in the Observation Space of Variational Autoencoders James A. G. Langley M. Monteiro Charles Jones Nick Pawlowski Ben Glocker CML OOD BDL DRL 39 2 0 25 May 2022
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 221 422 0 16 May 2022
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model Jianwen Xie Y. Zhu Juntao Li Ping Li 26 50 0 13 May 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 124 6,663 0 13 Apr 2022
Efficient-VDVAE: Less is more Louay Hazami Rayhane Mama Ragavan Thurairatnam BDL 29 28 0 25 Mar 2022
Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors Oran Gafni Adam Polyak Oron Ashual Shelly Sheynin Devi Parikh Yaniv Taigman DiffM 19 513 0 24 Mar 2022
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC Anna Kuzina Max Welling Jakub M. Tomczak AAML DRL 31 12 0 18 Mar 2022
Image Super-Resolution With Deep Variational Autoencoders Darius Chira Ilian Haralampiev Ole Winther Andrea Dittadi Valentin Liévin DRL 35 32 0 17 Mar 2022
Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values Ahmed Imtiaz Humayun Randall Balestriero Richard Baraniuk 24 31 0 03 Mar 2022
Variational Autoencoders Without the Variation Gregory A. Daly J. Fieldsend G. Tabor 31 2 0 01 Mar 2022
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations Oskar Kviman Harald Melin Hazal Koptagel Victor Elvira J. Lagergren DRL 75 17 0 22 Feb 2022
Benchmarking Generative Latent Variable Models for Speech Jakob Drachmann Havtorn Lasse Borgholt Søren Hauberg J. Frellsen Lars Maaløe 31 3 0 22 Feb 2022
Gradient Estimation with Discrete Stein Operators Jiaxin Shi Yuhao Zhou Jessica Hwang Michalis K. Titsias Lester W. Mackey 33 22 0 19 Feb 2022
Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo I. Peis Chao Ma José Miguel Hernández-Lobato BDL DRL 16 14 0 09 Feb 2022
MaskGIT: Masked Generative Image Transformer Huiwen Chang Han Zhang Lu Jiang Ce Liu William T. Freeman ViT 49 631 0 08 Feb 2022
VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming Eleonora Misino G. Marra Emanuele Sansone 26 21 0 07 Feb 2022
Stay Positive: Non-Negative Image Synthesis for Augmented Reality Katie Z Luo Guandao Yang Wenqi Xian Harald Haraldsson B. Hariharan Serge Belongie DiffM 23 5 0 01 Feb 2022
Posterior Matching for Arbitrary Conditioning R. Strauss Junier B. Oliva CML BDL 39 6 0 28 Jan 2022
Learning Multiple Probabilistic Degradation Generators for Unsupervised Real World Image Super Resolution Sangyun Lee Sewoong Ahn Kwangjin Yoon 84 5 0 26 Jan 2022
Conditional Generation of Medical Time Series for Extrapolation to Underrepresented Populations Simon Bing Andrea Dittadi Stefan Bauer Patrick Schwab SyDa 25 17 0 20 Jan 2022
Simpler is better: spectral regularization and up-sampling techniques for variational autoencoders Sara Bjork Jonas Nordhaug Myhre T. Johansen DRL 50 5 0 19 Jan 2022
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models Fan Bao Chongxuan Li Jun Zhu Bo Zhang DiffM 57 338 0 17 Jan 2022
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents Kushagra Pandey Avideep Mukherjee Piyush Rai Abhishek Kumar DiffM 33 114 0 02 Jan 2022
Integrating Material Selection with Design Optimization via Neural Networks A. Chandrasekhar S. Sridhara K. Suresh AI4CE 27 6 0 23 Dec 2021