NVAE: A Deep Hierarchical Variational Autoencoder

8 July 2020

Papers citing "NVAE: A Deep Hierarchical Variational Autoencoder"

50 / 225 papers shown

Title
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport Jaemoo Choi Jaewoong Choi Myung-joo Kang OT 46 19 0 24 May 2023
Few-shot 3D Shape Generation Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan DiffM 33 1 0 19 May 2023
Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling Shitong Shao Xu Dai Shouyi Yin Lujun Li Huanran Chen Yang Hu 26 17 0 18 May 2023
A multimodal dynamical variational autoencoder for audiovisual speech representation learning Samir Sadok Simon Leglaive Laurent Girin Xavier Alameda-Pineda Renaud Séguier 38 11 0 05 May 2023
Explicitly Minimizing the Blur Error of Variational Autoencoders G. Bredell Kyriakos Flouris K. Chaitanya Ertunc Erdil E. Konukoglu 26 22 0 12 Apr 2023
TC-VAE: Uncovering Out-of-Distribution Data Generative Factors Cristian Meo Anirudh Goyal Justin Dauwels DRL CoGe CML 27 2 0 08 Apr 2023
Graph Representation Learning for Interactive Biomolecule Systems Xinye Xiong Bingxin Zhou Yu Guang Wang AI4CE GNN 51 0 0 05 Apr 2023
Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images Roberto Amoroso Davide Morelli Marcella Cornia Lorenzo Baraldi A. Bimbo Rita Cucchiara DiffM 41 29 0 02 Apr 2023
Implicit Diffusion Models for Continuous Super-Resolution Sicheng Gao Xuhui Liu Bo-Wen Zeng Sheng Xu Yanjing Li Xiaonan Luo Jianzhuang Liu Xiantong Zhen Baochang Zhang DiffM 45 218 0 29 Mar 2023
Object-Centric Relational Representations for Image Generation L. Butera Andrea Cini Alberto Ferrante Cesare Alippi OCL DiffM 34 0 0 26 Mar 2023
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck Jongheon Jeong Sihyun Yu Hankook Lee Jinwoo Shin AAML 46 0 0 24 Mar 2023
High Fidelity Image Synthesis With Deep VAEs In Latent Space Troy Luhman Eric Luhman DRL 3DV 39 7 0 23 Mar 2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT Yihan Cao Siyu Li Yixin Liu Zhiling Yan Yutong Dai Philip S. Yu Lichao Sun 38 509 0 07 Mar 2023
Guiding Energy-based Models via Contrastive Latent Variables Hankook Lee Jongheon Jeong Sejun Park Jinwoo Shin BDL 32 14 0 06 Mar 2023
How to Construct Energy for Images? Denoising Autoencoder Can Be Energy Based Model W. Zeng DiffM 39 1 0 05 Mar 2023
Denoising diffusion algorithm for inverse design of microstructures with fine-tuned nonlinear material properties Nikolaos N. Vlassis WaiChing Sun AI4CE DiffM 22 46 0 24 Feb 2023
SurvivalGAN: Generating Time-to-Event Data for Survival Analysis Alexander Norcliffe B. Cebere F. Imrie Pietro Lio M. Schaar SyDa 44 14 0 24 Feb 2023
Variational Autoencoding Neural Operators Jacob H. Seidman Georgios Kissas George J. Pappas P. Perdikaris DRL AI4CE 27 7 0 20 Feb 2023
Discouraging posterior collapse in hierarchical Variational Autoencoders using context Anna Kuzina Jakub M. Tomczak BDL DRL 23 1 0 20 Feb 2023
Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions Raghav Singhal Mark Goldstein Rajesh Ranganath DiffM 39 21 0 14 Feb 2023
Learning a model is paramount for sample efficiency in reinforcement learning control of PDEs Stefan Werner Sebastian Peitz 41 9 0 14 Feb 2023
ALAN: Autonomously Exploring Robotic Agents in the Real World Russell Mendonca Shikhar Bahl Deepak Pathak LM&Ro 36 20 0 13 Feb 2023
Data-Driven Stochastic Motion Evaluation and Optimization with Image by Spatially-Aligned Temporal Encoding Takeru Oba Norimichi Ukita 25 3 0 10 Feb 2023
Long Horizon Temperature Scaling Andy Shih Dorsa Sadigh Stefano Ermon DiffM 29 14 0 07 Feb 2023
Minimizing Trajectory Curvature of ODE-based Generative Models Sangyun Lee Beomsu Kim Jong Chul Ye 48 53 0 27 Jan 2023
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs Fabian Falck Christopher Williams D. Danks George Deligiannidis C. Yau Chris Holmes Arnaud Doucet M. Willetts 36 8 0 19 Jan 2023
Masked Vector Quantization David D. Nguyen David Leibowitz Surya Nepal S. Kanhere MQ 26 0 0 16 Jan 2023
Laser: Latent Set Representations for 3D Generative Modeling Pol Moreno Adam R. Kosiorek Heiko Strathmann Daniel Zoran Rosália G. Schneider Bjorn Winckler L. Markeeva T. Weber Danilo Jimenez Rezende BDL 3DV DRL 38 4 0 13 Jan 2023
Predictive World Models from Real-World Partial Observations Robin Karlsson Alexander Carballo Keisuke Fujii Kento Ohtani K. Takeda 46 5 0 12 Jan 2023
Long-horizon video prediction using a dynamic latent hierarchy Alexey Zakharov Qinghai Guo Z. Fountas 38 4 0 29 Dec 2022
Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models Zijian Zhang Zhou Zhao Zhijie Lin DiffM 35 52 0 26 Dec 2022
Human Image Generation: A Comprehensive Survey Zhen Jia Zhang Zhang Liangsheng Wang Tieniu Tan EGVM 3DH VGen 43 5 0 17 Dec 2022
Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion Tengfei Wang Bo Zhang Ting Zhang Shuyang Gu Jianmin Bao ... Jingjing Shen Dong Chen Fang Wen Qifeng Chen B. Guo 37 280 0 12 Dec 2022
Ensuring Visual Commonsense Morality for Text-to-Image Generation Seong-Oak Park Suhong Moon Jinkyu Kim 19 2 0 07 Dec 2022
3inGAN: Learning a 3D Generative Model from Images of a Self-similar Scene Animesh Karnewar Oliver Wang Tobias Ritschel Niloy Mitra 30 12 0 27 Nov 2022
Latent Space Diffusion Models of Cryo-EM Structures Karsten Kreis Tim Dockhorn Zihao Li Ellen D. Zhong DiffM 35 15 0 25 Nov 2022
μSplit: efficient image decomposition for microscopy data Ashesh Ashesh Alexander Krull M. D. Sante F. Pasqualini Florian Jug 35 4 0 23 Nov 2022
Super-resolution Reconstruction of Single Image for Latent features Xin Wang Jingkai Yan Jingyong Cai Jiankang Deng Qin Qin Yao Cheng DiffM 32 9 0 16 Nov 2022
Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors Anjun Hu Jean-Pierre Falet Brennan Nichyporuk Changjian Shui Douglas L. Arnold Sotirios A. Tsaftaris Tal Arbel 32 2 0 15 Nov 2022
Hierarchically Structured Task-Agnostic Continual Learning Heinke Hihn Daniel A. Braun BDL CLL 23 8 0 14 Nov 2022
Disentangling Variational Autoencoders Rafael Pastrana CoGe DRL 38 4 0 14 Nov 2022
Astronomia ex machina: a history, primer, and outlook on neural networks in astronomy Michael J. Smith James E. Geach 37 32 0 07 Nov 2022
Few-shot Image Generation with Diffusion Models Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan DiffM 42 20 0 07 Nov 2022
Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation Jinyi Hu Xiaoyuan Yi Wenhao Li Maosong Sun Xingxu Xie DRL 27 0 0 22 Oct 2022
Representation Learning with Diffusion Models Jeremias Traub DiffM 34 8 0 20 Oct 2022
Gaussian-Bernoulli RBMs Without Tears Renjie Liao Simon Kornblith Mengye Ren David J. Fleet Geoffrey E. Hinton BDL OOD 19 12 0 19 Oct 2022
DiffGAR: Model-Agnostic Restoration from Generative Artifacts Using Image-to-Image Diffusion Models Yueqin Yin Lianghua Huang Yu Liu Kaiqiang Huang DiffM 41 12 0 16 Oct 2022
LION: Latent Point Diffusion Models for 3D Shape Generation Fangyin Wei Arash Vahdat Francis Williams Zan Gojcic Or Litany Sanja Fidler Karsten Kreis DiffM 73 489 0 12 Oct 2022
Auto-Encoding Goodness of Fit A. Palmer Zhiyi Chi Derek Aguiar J. Bi 48 1 0 12 Oct 2022
Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance Chen Henry Wu Fernando de la Torre DiffM 39 67 0 11 Oct 2022