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
Visual Image Reconstruction from Brain Activity via Latent Representation Y. Kamitani Misato Tanaka Ken Shirakawa 18 0 0 13 May 2025
Wavelet-based Variational Autoencoders for High-Resolution Image Generation Andrew Kiruluta DiffM 27 0 0 16 Apr 2025
Modality-Independent Explainable Detection of Inaccurate Organ Segmentations Using Denoising Autoencoders Levente Lippenszky István Megyeri Krisztian Koos Zsófia Karancsi Borbála Deák-Karancsi András Frontó Árpád Makk Attila Rádics Erhan Bas László Ruskó MedIm 36 0 0 16 Apr 2025
D $^2$ iT: Dynamic Diffusion Transformer for Accurate Image Generation Weinan Jia Mengqi Huang Nan Chen Lei Zhang Zhendong Mao 21 0 0 13 Apr 2025
RBT4DNN: Requirements-based Testing of Neural Networks Nusrat Jahan Mozumder Felipe Toledo Swaroopa Dola Matthew B. Dwyer AAML 46 1 0 03 Apr 2025
EchoFlow: A Foundation Model for Cardiac Ultrasound Image and Video Generation Hadrien Reynaud Alberto Gomez Paul Leeson Qingjie Meng B. Kainz MedIm 54 0 0 28 Mar 2025
Scale-wise Distillation of Diffusion Models Nikita Starodubcev Denis Kuznedelev Artem Babenko Dmitry Baranchuk DiffM 48 0 0 20 Mar 2025
NFIG: Autoregressive Image Generation with Next-Frequency Prediction Zhihao Huang Xi Qiu Yukuo Ma Yifu Zhou Chi Zhang Xuelong Li VLM 61 1 0 10 Mar 2025
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models Nguyen H K. Do Truc Nguyen Malik Hassanaly Raed Alharbi Jung Taek Seo My T. Thai 49 0 0 09 Mar 2025
SpecDM: Hyperspectral Dataset Synthesis with Pixel-level Semantic Annotations W. Liu Pei Yang Wenhui Hong Xiaoguang Mei Jiayi Ma DiffM 61 0 0 24 Feb 2025
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps Henry Li Ronen Basri Y. Kluger DiffM 52 2 0 13 Jan 2025
Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data Lorenzo Veronese Andrea Moglia Luca Mainardi Pietro Cerveri DiffM 59 0 0 17 Dec 2024
Non-Normal Diffusion Models Henry Li VLM DiffM 100 1 0 10 Dec 2024
Pre-trained Multiple Latent Variable Generative Models are good defenders against Adversarial Attacks Dario Serez Marco Cristani Alessio Del Bue Vittorio Murino Pietro Morerio AAML 78 0 0 04 Dec 2024
Hierarchical VAE with a Diffusion-based VampPrior Anna Kuzina Jakub M. Tomczak DiffM TPM BDL 82 0 0 02 Dec 2024
How to Defend Against Large-scale Model Poisoning Attacks in Federated Learning: A Vertical Solution Jinbo Wang Ruijin Wang Fengli Zhang FedML AAML 24 0 0 16 Nov 2024
Autoregressive Models in Vision: A Survey Jing Xiong Gongye Liu Lun Huang Chengyue Wu Taiqiang Wu ... M. Zhang Guillermo Sapiro Jiebo Luo Ping Luo Ngai Wong VGen 46 9 0 08 Nov 2024
Time-Causal VAE: Robust Financial Time Series Generator Beatrice Acciaio Stephan Eckstein Songyan Hou AI4TS 23 2 0 05 Nov 2024
BrainBits: How Much of the Brain are Generative Reconstruction Methods Using? David Mayo Christopher Wang Asa Harbin Abdulrahman Alabdulkareem Albert Eaton Shaw Boris Katz Andrei Barbu DiffM 39 0 0 05 Nov 2024
$α$ -TCVAE: On the relationship between Disentanglement and Diversity Cristian Meo Louis Mahon Anirudh Goyal Justin Dauwels DRL 51 8 0 01 Nov 2024
How Do Flow Matching Models Memorize and Generalize in Sample Data Subspaces? Weiguo Gao Ming Li OOD 22 2 0 31 Oct 2024
Your Image is Secretly the Last Frame of a Pseudo Video Wenlong Chen Wenlin Chen Lapo Rastrelli Yingzhen Li DiffM VGen 27 0 0 26 Oct 2024
Interpretable Representation Learning from Videos using Nonlinear Priors Marian Longa Joao F. Henriques CML DRL 19 0 0 24 Oct 2024
Counterfactual Generative Modeling with Variational Causal Inference Yulun Wu Louie McConnell Claudia Iriondo CML BDL 24 0 0 16 Oct 2024
DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation Jiatao Gu Yuyang Wang Yizhe Zhang Qihang Zhang Dinghuai Zhang Navdeep Jaitly Josh Susskind Shuangfei Zhai DiffM 31 12 0 10 Oct 2024
Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques Benyuan Meng Qianqian Xu Zitai Wang Zhiyong Yang Xiaochun Cao Qingming Huang 14 0 0 09 Oct 2024
High-Efficiency Neural Video Compression via Hierarchical Predictive Learning Ming-Tse Lu Zhihao Duan Wuyang Cong Dandan Ding F. Zhu Zhan Ma BDL 34 1 0 03 Oct 2024
Rejection Sampling IMLE: Designing Priors for Better Few-Shot Image Synthesis Chirag Vashist Shichong Peng Ke Li DiffM 27 1 0 26 Sep 2024
Brain-Streams: fMRI-to-Image Reconstruction with Multi-modal Guidance Jaehoon Joo Taejin Jeong Seongjae Hwang DiffM 16 0 0 18 Sep 2024
Beta-Sigma VAE: Separating beta and decoder variance in Gaussian variational autoencoder Seunghwan Kim Seungkyu Lee DRL 26 0 0 14 Sep 2024
Low-Quality Image Detection by Hierarchical VAE Tomoyasu Nanaumi Kazuhiko Kawamoto Hiroshi Kera 12 0 0 20 Aug 2024
A Non-negative VAE:the Generalized Gamma Belief Network Zhibin Duan Tiansheng Wen Muyao Wang Bo Chen Mingyuan Zhou BDL 16 1 0 06 Aug 2024
Towards a Scalable Reference-Free Evaluation of Generative Models Azim Ospanov Jingwei Zhang Mohammad Jalali Xuenan Cao Andrej Bogdanov Farzan Farnia EGVM 32 7 0 03 Jul 2024
Generalized Nested Latent Variable Models for Lossy Coding applied to Wind Turbine Scenarios Raül Pérez-Gonzalo Andreas Espersen Antonio Agudo 14 1 0 10 Jun 2024
AttnDreamBooth: Towards Text-Aligned Personalized Text-to-Image Generation Lianyu Pang Jian Yin Baoquan Zhao Feize Wu Fu Lee Wang Qing Li Xudong Mao DiffM 37 1 0 07 Jun 2024
Glauber Generative Model: Discrete Diffusion Models via Binary Classification Harshit Varma Dheeraj M. Nagaraj Karthikeyan Shanmugam VLM 62 2 0 27 May 2024
Time Cell Inspired Temporal Codebook in Spiking Neural Networks for Enhanced Image Generation Linghao Feng Dongcheng Zhao Sicheng Shen Yiting Dong Guobin Shen Yi Zeng 23 2 0 23 May 2024
Poisson Variational Autoencoder Hadi Vafaii Dekel Galor Jacob L. Yates DRL 35 2 0 23 May 2024
Survey on Visual Signal Coding and Processing with Generative Models: Technologies, Standards and Optimization Zhibo Chen Heming Sun Li Zhang Fan Zhang 38 3 0 23 May 2024
Learning Latent Space Hierarchical EBM Diffusion Models Jiali Cui Tian Han DiffM 24 1 0 22 May 2024
Identification of Novel Modes in Generative Models via Fourier-based Differential Clustering Jingwei Zhang Mohammad Jalali Cheuk Ting Li Farzan Farnia 23 3 0 04 May 2024
Benchmarking Counterfactual Image Generation Thomas Melistas Nikos Spyrou Nefeli Gkouti Pedro Sanchez Athanasios Vlontzos Yannis Panagakis G. Papanastasiou Sotirios A. Tsaftaris EGVM CML 41 6 0 29 Mar 2024
SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder Dihan Zheng Yihang Zou Xiaowen Zhang Chenglong Bao DiffM 16 0 0 26 Mar 2024
Artifact Feature Purification for Cross-domain Detection of AI-generated Images Zheling Meng Bo Peng Jing Dong Tieniu Tan 81 2 0 17 Mar 2024
TTA-Nav: Test-time Adaptive Reconstruction for Point-Goal Navigation under Visual Corruptions Maytus Piriyajitakonkij Mingfei Sun Mengmi Zhang Wei Pan ViT 50 0 0 04 Mar 2024
An Interpretable Evaluation of Entropy-based Novelty of Generative Models Jingwei Zhang Cheuk Ting Li Farzan Farnia EGVM 19 6 0 27 Feb 2024
Counterfactual Image Editing Yushu Pan Elias Bareinboim BDL CML 25 5 0 07 Feb 2024
NITO: Neural Implicit Fields for Resolution-free Topology Optimization A. Nobari Giorgio Giannone Lyle Regenwetter Faez Ahmed AI4CE 25 3 0 07 Feb 2024
Demystifying Variational Diffusion Models Fabio De Sousa Ribeiro Ben Glocker DiffM 15 0 0 11 Jan 2024
Brain-Conditional Multimodal Synthesis: A Survey and Taxonomy Weijian Mai Jian Zhang Pengfei Fang Zhijun Zhang 37 9 0 31 Dec 2023