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 30 10 0 31 Dec 2023
Prototypical Self-Explainable Models Without Re-training Srishti Gautam Ahcène Boubekki Marina M.-C. Höhne Michael C. Kampffmeyer 21 2 0 13 Dec 2023
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness Xiaoyun Xu Shujian Yu Jingzheng Wu S. Picek AAML 33 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 10 0 0 05 Dec 2023
Generating Interpretable Networks using Hypernetworks Isaac Liao Ziming Liu Max Tegmark 21 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 13 1 0 02 Dec 2023
DiffEnc: Variational Diffusion with a Learned Encoder Beatrix M. G. Nielsen Anders Christensen Andrea Dittadi Ole Winther DiffM 11 9 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 13 5 0 24 Oct 2023
Learning Hierarchical Features with Joint Latent Space Energy-Based Prior Jiali Cui Ying Nian Wu Tian Han BDL 23 6 0 14 Oct 2023
EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational Autoencoders Gulcin Baykal M. Kandemir Gözde B. Ünal 19 12 0 09 Oct 2023
DREAM: Visual Decoding from Reversing Human Visual System Weihao Xia Raoul de Charette Cengiz Öztireli Jing-Hao Xue 10 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 11 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 10 27 0 03 Sep 2023
Diffusion Models with Deterministic Normalizing Flow Priors Mohsen Zand Ali Etemad Michael A. Greenspan DiffM 21 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 30 3 0 31 Aug 2023
Learning variational autoencoders via MCMC speed measures Marcel Hirt Vasileios Kreouzis P. Dellaportas BDL DRL 13 2 0 26 Aug 2023
Conditional Sampling of Variational Autoencoders via Iterated Approximate Ancestral Sampling Vaidotas Šimkus Michael U. Gutmann BDL DRL 20 3 0 17 Aug 2023
Bayesian Flow Networks Alex Graves R. Srivastava Timothy James Atkinson Faustino J. Gomez BDL 25 41 0 14 Aug 2023
Gradient Surgery for One-shot Unlearning on Generative Model Seohui Bae Seoyoon Kim Hyemin Jung Woohyung Lim BDL MU 19 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 11 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 23 35 0 27 Jun 2023
Understanding Deep Generative Models with Generalized Empirical Likelihoods Suman V. Ravuri Mélanie Rey S. Mohamed M. Deisenroth VLM 11 5 0 16 Jun 2023
GBSD: Generative Bokeh with Stage Diffusion Jieren Deng Xiaoxia Zhou Hao Tian Zhihong Pan Derek Aguiar DiffM 11 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 11 1 0 14 Jun 2023
Learning Joint Latent Space EBM Prior Model for Multi-layer Generator Jiali Cui Ying Nian Wu Tian Han 6 7 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 13 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 17 94 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 8 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 14 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 36 30 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 27 105 0 29 May 2023
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation Giorgio Giannone Akash Srivastava Ole Winther Faez Ahmed DiffM AI4CE 13 26 0 29 May 2023
Deep Variational Lesion-Deficit Mapping Guilherme Pombo Robert J. Gray Amy Nelson Chris Foulon John Ashburner P. Nachev MedIm 14 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 21 1 0 24 May 2023
HARD: Hard Augmentations for Robust Distillation Arne F. Nix Max F. Burg Fabian H. Sinz AAML 15 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 19 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 15 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 80 16 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 38 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 17 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 13 221 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 E. Turner BDL UQCV 17 21 0 25 Mar 2023
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck Jongheon Jeong Sihyun Yu Hankook Lee Jinwoo Shin AAML 31 0 0 24 Mar 2023
High Fidelity Image Synthesis With Deep VAEs In Latent Space Troy Luhman Eric Luhman DRL 3DV 15 7 0 23 Mar 2023
Encoding Binary Concepts in the Latent Space of Generative Models for Enhancing Data Representation Zizhao Hu Mohammad Rostami DRL 6 2 0 22 Mar 2023
Defect Detection Approaches Based on Simulated Reference Image Nati Ofir Y. Ben-Shoshan Ran Badanes Boris Sherman 21 1 0 21 Mar 2023
Inverse problem regularization with hierarchical variational autoencoders Jean Prost Antoine Houdard Andrés Almansa Nicolas Papadakis 16 4 0 20 Mar 2023
Conditional Synthetic Food Image Generation Weijin Fu Yue Han Jiangpeng He Sriram Baireddy Mridul Gupta F. Zhu GAN 12 4 0 16 Mar 2023
Feature Unlearning for Pre-trained GANs and VAEs Saemi Moon Seunghyuk Cho Dongwoo Kim SSL GAN MU 15 13 0 10 Mar 2023