Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images

20 November 2020

Papers citing "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"

50 / 231 papers shown

Title
HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes Yuhta Takida Yukara Ikemiya Takashi Shibuya Kazuki Shimada Woosung Choi ... Naoki Murata Toshimitsu Uesaka Kengo Uchida Wei-Hsiang Liao Yuki Mitsufuji BDL 43 11 0 31 Dec 2023
Prototypical Self-Explainable Models Without Re-training Srishti Gautam Ahcène Boubekki Marina M.-C. Höhne Michael C. Kampffmeyer 34 2 0 13 Dec 2023
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness Xiaoyun Xu Shujian Yu Jingzheng Wu S. Picek AAML 35 0 0 08 Dec 2023
FERGI: Automatic Annotation of User Preferences for Text-to-Image Generation from Spontaneous Facial Expression Reaction Shuangquan Feng Junhua Ma Virginia R. de Sa EGVM 26 0 0 05 Dec 2023
Generating Interpretable Networks using Hypernetworks Isaac Liao Ziming Liu Max Tegmark 34 2 0 05 Dec 2023
$t^3$ -Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence Juno Kim Jaehyuk Kwon Mincheol Cho Hyunjong Lee Joong-Ho Won 24 2 0 02 Dec 2023
DiffEnc: Variational Diffusion with a Learned Encoder Beatrix M. G. Nielsen Anders Christensen Andrea Dittadi Ole Winther DiffM 21 10 0 30 Oct 2023
Learning Dynamics in Linear VAE: Posterior Collapse Threshold, Superfluous Latent Space Pitfalls, and Speedup with KL Annealing Yuma Ichikawa Koji Hukushima 24 5 0 24 Oct 2023
Learning Hierarchical Features with Joint Latent Space Energy-Based Prior Jiali Cui Ying Nian Wu Tian Han BDL 36 6 0 14 Oct 2023
EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational Autoencoders Gulcin Baykal M. Kandemir Gözde B. Ünal 27 12 0 09 Oct 2023
DREAM: Visual Decoding from Reversing Human Visual System Weihao Xia Raoul de Charette Cengiz Öztireli Jing-Hao Xue 19 30 0 03 Oct 2023
Addressing preferred orientation in single-particle cryo-EM through AI-generated auxiliary particles Hui Zhang Dihan Zheng Qiurong Wu Nieng Yan Zuoqiang Shi Ming Hu Chenglong Bao 19 3 0 26 Sep 2023
Advances in machine-learning-based sampling motivated by lattice quantum chromodynamics Kyle Cranmer G. Kanwar S. Racanière Danilo Jimenez Rezende P. Shanahan AI4CE 29 27 0 03 Sep 2023
Diffusion Models with Deterministic Normalizing Flow Priors Mohsen Zand Ali Etemad Michael A. Greenspan DiffM 34 2 0 03 Sep 2023
QS-TTS: Towards Semi-Supervised Text-to-Speech Synthesis via Vector-Quantized Self-Supervised Speech Representation Learning Haohan Guo Fenglong Xie Jiawen Kang Yujia Xiao Xixin Wu Helen M. Meng 43 3 0 31 Aug 2023
Learning variational autoencoders via MCMC speed measures Marcel Hirt Vasileios Kreouzis P. Dellaportas BDL DRL 29 2 0 26 Aug 2023
Conditional Sampling of Variational Autoencoders via Iterated Approximate Ancestral Sampling Vaidotas Šimkus Michael U. Gutmann BDL DRL 36 3 0 17 Aug 2023
Bayesian Flow Networks Alex Graves R. Srivastava Timothy James Atkinson Faustino J. Gomez BDL 35 42 0 14 Aug 2023
Gradient Surgery for One-shot Unlearning on Generative Model Seohui Bae Seoyoon Kim Hyemin Jung Woohyung Lim BDL MU 24 8 0 10 Jul 2023
Comparison of Point Cloud and Image-based Models for Calorimeter Fast Simulation Fernando Torales Acosta Vinicius Mikuni Benjamin Nachman M. Arratia B. Karki R. Milton P. Karande Aaron Angerami DiffM 22 24 0 10 Jul 2023
High Fidelity Image Counterfactuals with Probabilistic Causal Models Fabio De Sousa Ribeiro Tian Xia M. Monteiro Nick Pawlowski Ben Glocker DiffM 35 36 0 27 Jun 2023
Understanding Deep Generative Models with Generalized Empirical Likelihoods Suman V. Ravuri Mélanie Rey S. Mohamed M. Deisenroth VLM 27 5 0 16 Jun 2023
GBSD: Generative Bokeh with Stage Diffusion Jieren Deng Xiaoxia Zhou Hao Tian Zhihong Pan Derek Aguiar DiffM 19 1 0 14 Jun 2023
Unbiased Learning of Deep Generative Models with Structured Discrete Representations H. Bendekgey Gabriel Hope Erik B. Sudderth OCL BDL DRL 22 1 0 14 Jun 2023
Learning Joint Latent Space EBM Prior Model for Multi-layer Generator Jiali Cui Ying Nian Wu Tian Han 19 8 0 10 Jun 2023
Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders Hien Dang Tho Tran T. Nguyen Nhat Ho CML DRL 18 3 0 08 Jun 2023
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models G. Stein Jesse C. Cresswell Rasa Hosseinzadeh Yi Sui Brendan Leigh Ross Valentin Villecroze Zhaoyan Liu Anthony L. Caterini J. E. T. Taylor G. Loaiza-Ganem EGVM 33 95 0 07 Jun 2023
Second Sight: Using brain-optimized encoding models to align image distributions with human brain activity Reese Kneeland Jordyn Ojeda Ghislain St-Yves Thomas Naselaris DiffM 16 4 0 01 Jun 2023
Image generation with shortest path diffusion Ayan Das Stathi Fotiadis Anil Batra F. Nabiei FengTing Liao Sattar Vakili Da-shan Shiu A. Bernacchia 16 8 0 01 Jun 2023
A Unified Framework for U-Net Design and Analysis Christopher Williams Fabian Falck George Deligiannidis Chris Holmes Arnaud Doucet Saifuddin Syed SSeg AI4CE 41 34 0 31 May 2023
Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors Paul S. Scotti Atmadeep Banerjee J. Goode Stepan Shabalin A. Nguyen ... Nathalie Verlinde Elad Yundler David Weisberg K. A. Norman Tanishq Mathew Abraham DiffM 39 106 0 29 May 2023
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation Giorgio Giannone Akash Srivastava Ole Winther Faez Ahmed DiffM AI4CE 34 26 0 29 May 2023
Deep Variational Lesion-Deficit Mapping Guilherme Pombo Robert J. Gray Amy Nelson Chris Foulon John Ashburner P. Nachev MedIm 27 1 0 27 May 2023
Dior-CVAE: Pre-trained Language Models and Diffusion Priors for Variational Dialog Generation Tianyu Yang Thy Thy Tran Iryna Gurevych DiffM 25 1 0 24 May 2023
HARD: Hard Augmentations for Robust Distillation Arne F. Nix Max F. Burg Fabian H. Sinz AAML 36 1 0 24 May 2023
Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation Mengqi Huang Zhendong Mao Quang Wang Yongdong Zhang VGen DiffM 68 21 0 23 May 2023
Towards Accurate Image Coding: Improved Autoregressive Image Generation with Dynamic Vector Quantization Mengqi Huang Zhendong Mao Zhuowei Chen Yongdong Zhang MQ 38 35 0 19 May 2023
Brain Captioning: Decoding human brain activity into images and text Matteo Ferrante Furkan Ozcelik T. Boccato R. V. Rullen N. Toschi DiffM 28 26 0 19 May 2023
Catch Missing Details: Image Reconstruction with Frequency Augmented Variational Autoencoder Xinmiao Lin Yikang Li Jenhao Hsiao C. Ho Yu Kong 84 17 0 04 May 2023
Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows Chao Du Tianbo Li Tianyu Pang Shuicheng Yan Min-Bin Lin DiffM BDL 43 12 0 03 May 2023
Learning to Predict Navigational Patterns from Partial Observations Robin Karlsson Alexander Carballo Francisco Lepe-Salazar Keisuke Fujii Kento Ohtani K. Takeda 21 2 0 26 Apr 2023
Habits and goals in synergy: a variational Bayesian framework for behavior Dongqi Han Kenji Doya Dongsheng Li Jun Tani BDL 23 220 0 11 Apr 2023
Autoregressive Conditional Neural Processes W. Bruinsma Stratis Markou James Requiema Andrew Y. K. Foong Tom R. Andersson Anna Vaughan Anthony Buonomo J. S. Hosking Richard Turner BDL UQCV 33 21 0 25 Mar 2023
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck Jongheon Jeong Sihyun Yu Hankook Lee Jinwoo Shin AAML 44 0 0 24 Mar 2023
High Fidelity Image Synthesis With Deep VAEs In Latent Space Troy Luhman Eric Luhman DRL 3DV 31 7 0 23 Mar 2023
Encoding Binary Concepts in the Latent Space of Generative Models for Enhancing Data Representation Zizhao Hu Mohammad Rostami DRL 14 2 0 22 Mar 2023
Defect Detection Approaches Based on Simulated Reference Image Nati Ofir Y. Ben-Shoshan Ran Badanes Boris Sherman 31 1 0 21 Mar 2023
Inverse problem regularization with hierarchical variational autoencoders Jean Prost Antoine Houdard Andrés Almansa Nicolas Papadakis 24 4 0 20 Mar 2023
Conditional Synthetic Food Image Generation Weijin Fu Yue Han Jiangpeng He Sriram Baireddy Mridul Gupta F. Zhu GAN 33 4 0 16 Mar 2023
Feature Unlearning for Pre-trained GANs and VAEs Saemi Moon Seunghyuk Cho Dongwoo Kim SSL GAN MU 28 13 0 10 Mar 2023