NVAE: A Deep Hierarchical Variational Autoencoder

8 July 2020

Papers citing "NVAE: A Deep Hierarchical Variational Autoencoder"

50 / 223 papers shown

Title
Good Things Come in Pairs: Paired Autoencoders for Inverse Problems Matthias Chung Bas Peters Michael Solomon 39 0 0 10 May 2025
Efficient Flow Matching using Latent Variables Anirban Samaddar Yixuan Sun Viktor Nilsson Sandeep Madireddy 53 0 0 07 May 2025
Incorporating Inductive Biases to Energy-based Generative Models Yukun Li Li-Ping Liu 60 0 0 02 May 2025
AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Yunhao Li Sijing Wu Wei Sun Zhichao Zhang Yucheng Zhu Zicheng Zhang Huiyu Duan Xiongkuo Min Guangtao Zhai EGVM 93 0 0 30 Apr 2025
MISO: Multiresolution Submap Optimization for Efficient Globally Consistent Neural Implicit Reconstruction Yulun Tian Hanwen Cao Sunghwan Kim Nikolay Atanasov 172 0 0 27 Apr 2025
Likelihood-Free Variational Autoencoders Chen Xu Qiang Wang Lijun Sun DiffM DRL 88 0 0 24 Apr 2025
Unifying Image Counterfactuals and Feature Attributions with Latent-Space Adversarial Attacks Jeremy Goldwasser Giles Hooker AAML 36 0 0 21 Apr 2025
Evolved Hierarchical Masking for Self-Supervised Learning Zhanzhou Feng Shiliang Zhang 51 0 0 12 Apr 2025
Disentangled Source-Free Personalization for Facial Expression Recognition with Neutral Target Data Masoumeh Sharafi Emma Ollivier Muhammad Osama Zeeshan Soufiane Belharbi M. Pedersoli A. L. Koerich Simon L Bacon EricGranger 82 1 0 26 Mar 2025
In the Blink of an Eye: Instant Game Map Editing using a Generative-AI Smart Brush Vitaly Gnatyuk Valeriia Koriukina Ilya Levoshevich Pavel Nurminskiy Guenter Wallner 42 0 0 25 Mar 2025
GrainPaint: A multi-scale diffusion-based generative model for microstructure reconstruction of large-scale objects Nathan Hoffman Cashen Diniz Dehao Liu T. Rodgers Anh Tran Mark Fuge AI4CE DiffM 53 1 0 18 Feb 2025
CGI: Identifying Conditional Generative Models with Example Images Zhi-Hua Zhou Hao-Zhe Tan Peng-Xiao Song Lan-Zhe Guo DiffM 44 0 0 23 Jan 2025
Isolated Diffusion: Optimizing Multi-Concept Text-to-Image Generation Training-Freely with Isolated Diffusion Guidance Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan 82 4 0 20 Jan 2025
NeurOp-Diff:Continuous Remote Sensing Image Super-Resolution via Neural Operator Diffusion Zihao Xu Yuzhi Tang Bowen Xu Qingquan Li DiffM 67 0 0 20 Jan 2025
CoMA: Compositional Human Motion Generation with Multi-modal Agents Shanlin Sun Gabriel De Araujo Jiaqi Xu S. Kevin Zhou Hanwen Zhang Ziheng Huang Chenyu You Xiaohui Xie 102 4 0 10 Dec 2024
Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads Siqi Kou Jiachun Jin Chang Liu Ye Ma Jian Jia Quan Chen Peng Jiang Zhijie Deng Zhijie Deng DiffM VGen VLM 137 6 0 28 Nov 2024
On Improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models Tariq Berrada Ifriqi Pietro Astolfi Melissa Hall Reyhane Askari Hemmat Yohann Benchetrit ... Matthew Muckley Karteek Alahari Adriana Romero Soriano Jakob Verbeek M. Drozdzal AI4CE VLM 75 2 0 05 Nov 2024
Your Image is Secretly the Last Frame of a Pseudo Video Wenlong Chen Wenlin Chen Lapo Rastrelli Yingzhen Li DiffM VGen 39 0 0 26 Oct 2024
Counterfactual Generative Modeling with Variational Causal Inference Yulun Wu Louie McConnell Claudia Iriondo CML BDL 27 0 0 16 Oct 2024
Diffusion Models to Enhance the Resolution of Microscopy Images: A Tutorial Harshith Bachimanchi Giovanni Volpe 31 1 0 24 Sep 2024
A Markov Random Field Multi-Modal Variational AutoEncoder Fouad Oubari M. Baha Raphael Meunier Rodrigue Décatoire Mathilde Mougeot 36 0 0 18 Aug 2024
Assessing Sample Quality via the Latent Space of Generative Models Jingyi Xu Hieu M. Le Dimitris Samaras MedIm 46 2 0 21 Jul 2024
Generative Topological Networks Alona Levy-Jurgenson Z. Yakhini 49 0 0 21 Jun 2024
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning Yeongmin Kim Kwanghyeon Lee Minsang Park Byeonghu Na Il-Chul Moon DiffM 44 2 0 27 May 2024
ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks Zhangkai Wu Xuhui Fan Jin Li Zhilin Zhao Hui Chen LongBing Cao 57 2 0 24 May 2024
FORESEE: Multimodal and Multi-view Representation Learning for Robust Prediction of Cancer Survival Liangrui Pan Yijun Peng Yan Li Yiyi Liang Liwen Xu Qingchun Liang Shaoliang Peng 36 0 0 13 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 51 7 0 29 Mar 2024
Variational Sampling of Temporal Trajectories Jurijs Nazarovs Zhichun Huang Xingjian Zhen Sourav Pal Rudrasis Chakraborty Vikas Singh 24 0 0 18 Mar 2024
Large Convolutional Model Tuning via Filter Subspace Wei Chen Zichen Miao Qiang Qiu 59 3 0 01 Mar 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 56 17 0 28 Feb 2024
Generative Models are Self-Watermarked: Declaring Model Authentication through Re-Generation Aditya Desu Xuanli He Qiongkai Xu Wei Lu WIGM 32 1 0 23 Feb 2024
Visual Concept-driven Image Generation with Text-to-Image Diffusion Model Tanzila Rahman Shweta Mahajan Hsin-Ying Lee Jian Ren Sergey Tulyakov Leonid Sigal 88 4 0 18 Feb 2024
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors Wasu Top Piriyakulkij Yingheng Wang Volodymyr Kuleshov DiffM 45 1 0 05 Jan 2024
DiffiT: Diffusion Vision Transformers for Image Generation Ali Hatamizadeh Jiaming Song Guilin Liu Jan Kautz Arash Vahdat 39 67 0 04 Dec 2023
Image Inpainting via Tractable Steering of Diffusion Models Guy Van den Broeck Mathias Niepert Mathias Niepert DiffM TPM 38 16 0 28 Nov 2023
A Tractable Inference Perspective of Offline RL Xuejie Liu Guy Van den Broeck Mathias Niepert Yitao Liang OffRL 36 1 0 31 Oct 2023
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning Amey P. Pasarkar Adji Bousso Dieng 27 11 0 19 Oct 2023
Unsupervised Denoising for Signal-Dependent and Row-Correlated Imaging Noise Benjamin Salmon Alexander Krull 53 1 0 11 Oct 2023
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC Peiyu Yu Y. Zhu Sirui Xie Xiaojian Ma Ruiqi Gao Song-Chun Zhu Ying Nian Wu DiffM 39 12 0 05 Oct 2023
Diffusion Models with Deterministic Normalizing Flow Priors Mohsen Zand Ali Etemad Michael A. Greenspan DiffM 34 2 0 03 Sep 2023
AI-Generated Content (AIGC) for Various Data Modalities: A Survey Lin Geng Foo Hossein Rahmani Jun Liu 78 31 0 27 Aug 2023
Structured World Models from Human Videos Russell Mendonca Shikhar Bahl Deepak Pathak LM&Ro 51 87 0 21 Aug 2023
UAV-assisted Semantic Communication with Hybrid Action Reinforcement Learning Tobias Heuer Jun Zhao Kwok-Yan Lam Qing Yang 18 3 0 18 Aug 2023
Variational Autoencoding of Dental Point Clouds J. Z. Ye Thomas Orkild P. Søndergaard Søren Hauberg 3DPC 23 0 0 20 Jul 2023
DiffuseGAE: Controllable and High-fidelity Image Manipulation from Disentangled Representation Yi Leng Qiangjuan Huang Zhiyuan Wang Yangyang Liu Haoyu Zhang DiffM 43 5 0 12 Jul 2023
Hierarchical Autoencoder-based Lossy Compression for Large-scale High-resolution Scientific Data Hieu Le Jián Tao AI4CE 29 2 0 09 Jul 2023
High Fidelity Image Counterfactuals with Probabilistic Causal Models Fabio De Sousa Ribeiro Tian Xia M. Monteiro Nick Pawlowski Ben Glocker DiffM 40 36 0 27 Jun 2023
HSR-Diff:Hyperspectral Image Super-Resolution via Conditional Diffusion Models Chanyue Wu Dong Wang Hanyu Mao Ying Li DiffM 23 38 0 21 Jun 2023
F?D: On understanding the role of deep feature spaces on face generation evaluation Krish Kabra Guha Balakrishnan EGVM CVBM 44 0 0 31 May 2023
End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization Shohei Taniguchi Masahiro Suzuki Yusuke Iwasawa Yutaka Matsuo SyDa 21 2 0 31 May 2023