Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models

8 March 2021

Papers citing "Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models"

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Generative AI for Bayesian Computation Nicholas G. Polson Vadim O. Sokolov BDL 23 5 0 24 May 2023
Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes Zheng Dong Zekai Fan Shixiang Zhu DiffM 16 4 0 21 May 2023
MMoT: Mixture-of-Modality-Tokens Transformer for Composed Multimodal Conditional Image Synthesis Jinsheng Zheng Daqing Liu Chaoyue Wang Minghui Hu Zuopeng Yang Changxing Ding Dacheng Tao 18 1 0 10 May 2023
Synthetic Data for Face Recognition: Current State and Future Prospects Fadi Boutros Vitomir Štruc Julian Fierrez Naser Damer 19 73 0 01 May 2023
Neurosymbolic Models for Computer Graphics Daniel E. Ritchie Paul Guerrero R. K. Jones Niloy J. Mitra Adriana Schulz Karl D. D. Willis Jiajun Wu 3DV 23 31 0 20 Apr 2023
PriorCVAE: scalable MCMC parameter inference with Bayesian deep generative modelling Elizaveta Semenova Prakhar Verma Max Cairney-Leeming Arno Solin Samir Bhatt Seth Flaxman BDL 14 3 0 09 Apr 2023
Efficient Multimodal Sampling via Tempered Distribution Flow Yixuan Qiu Xiao Wang OT 23 2 0 08 Apr 2023
Beyond Privacy: Navigating the Opportunities and Challenges of Synthetic Data B. V. Breugel M. Schaar 17 26 0 07 Apr 2023
Inductive biases in deep learning models for weather prediction Jannik Thümmel Matthias Karlbauer S. Otte C. Zarfl Georg Martius ... Thomas Scholten Ulrich Friedrich V. Wulfmeyer B. Goswami Martin Volker Butz AI4CE 31 4 0 06 Apr 2023
Graph Representation Learning for Interactive Biomolecule Systems Xinye Xiong Bingxin Zhou Yu Guang Wang AI4CE GNN 22 0 0 05 Apr 2023
On Rényi Differential Privacy in Statistics-Based Synthetic Data Generation Takayuki Miura Toshiki Shibahara M. Kii Atsunori Ichikawa Juko Yamamoto Koji Chida SyDa 17 0 0 31 Mar 2023
Deep Generative Model and Its Applications in Efficient Wireless Network Management: A Tutorial and Case Study Yinqiu Liu Hongyang Du Dusit Niyato Jiawen Kang Zehui Xiong Dong In Kim Abbas Jamalipour DiffM 23 31 0 30 Mar 2023
Diffusing the Optimal Topology: A Generative Optimization Approach Giorgio Giannone Faez Ahmed DiffM AI4CE 6 10 0 17 Mar 2023
Parallel Vertex Diffusion for Unified Visual Grounding Ze-Long Cheng Kehan Li Peng Jin Xiang Ji Li-ming Yuan Chang-rui Liu Jie Chen DiffM 29 25 0 13 Mar 2023
Self-Supervised One-Shot Learning for Automatic Segmentation of StyleGAN Images Ankit V. Manerikar A. Kak VLM 8 2 0 10 Mar 2023
Diffusing Gaussian Mixtures for Generating Categorical Data Florence Regol Mark J. Coates DiffM 14 5 0 08 Mar 2023
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification Rafael Orozco M. Louboutin Ali Siahkoohi G. Rizzuti Tristan van Leeuwen Felix J. Herrmann OOD 17 12 0 06 Mar 2023
Diffusion Model-Augmented Behavioral Cloning Shangcheng Chen Hsiang-Chun Wang Ming-Hao Hsu Chun-Mao Lai Shao-Hua Sun DiffM 36 30 0 26 Feb 2023
DA-VEGAN: Differentiably Augmenting VAE-GAN for microstructure reconstruction from extremely small data sets Yichi Zhang P. Seibert Alexandra Otto Alexander Raßloff M. Ambati M. Kastner SyDa 13 21 0 17 Feb 2023
Generative Diffusion Models on Graphs: Methods and Applications C. Liu Wenqi Fan Yunqing Liu Jiatong Li Hang Li Hui Liu Jiliang Tang Qing Li MedIm DiffM 8 57 0 06 Feb 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Biwei Huang Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 42 11 0 29 Jan 2023
Decentralized Entropic Optimal Transport for Privacy-preserving Distributed Distribution Comparison Xiangfeng Wang Hongteng Xu Moyi Yang OT 19 2 0 28 Jan 2023
Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines? Victor Boutin Thomas Fel Lakshya Singhal Rishav Mukherji Akash Nagaraj Julien Colin Thomas Serre DiffM 14 6 0 27 Jan 2023
Towards Flexibility and Interpretability of Gaussian Process State-Space Model Zhidi Lin Feng Yin Juan Maroñas 18 7 0 21 Jan 2023
Synthcity: facilitating innovative use cases of synthetic data in different data modalities Zhaozhi Qian B. Cebere M. Schaar SyDa 21 57 0 18 Jan 2023
Human Image Generation: A Comprehensive Survey Zhen Jia Zhang Zhang Liangsheng Wang T. Tan EGVM 3DH VGen 25 5 0 17 Dec 2022
Unifying Human Motion Synthesis and Style Transfer with Denoising Diffusion Probabilistic Models Ziyi Chang Edmund J. C. Findlay Hao Zhang Hubert P. H. Shum DiffM VGen 21 11 0 16 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 22 279 0 12 Dec 2022
Denoising diffusion probabilistic models for probabilistic energy forecasting Esteban Hernandez Capel Jonathan Dumas DiffM 11 14 0 06 Dec 2022
Rethinking Generative Methods for Image Restoration in Physics-based Vision: A Theoretical Analysis from the Perspective of Information Xudong Kang H. Xie Man-Leung Wong J. Qin 17 0 0 05 Dec 2022
High-dimensional density estimation with tensorizing flow Yinuo Ren Hongli Zhao Y. Khoo Lexing Ying 8 9 0 01 Dec 2022
Protein Language Models and Structure Prediction: Connection and Progression Bozhen Hu Jun-Xiong Xia Jiangbin Zheng Cheng Tan Yufei Huang Yongjie Xu Stan Z. Li 19 38 0 30 Nov 2022
Diffusion Models for Medical Image Analysis: A Comprehensive Survey A. Kazerouni Ehsan Khodapanah Aghdam Moein Heidari Reza Azad Mohsen Fayyaz I. Hacihaliloglu Dorit Merhof DiffM MedIm 35 351 0 14 Nov 2022
Improving Variational Autoencoders with Density Gap-based Regularization Jianfei Zhang Jun Bai Chenghua Lin Yanmeng Wang Wenge Rong DRL 23 4 0 01 Nov 2022
Diffusion-based Generative Speech Source Separation Robin Scheibler Youna Ji Soo-Whan Chung J. Byun Soyeon Choe Min-Seok Choi DiffM 14 38 0 31 Oct 2022
Deep Generative Models on 3D Representations: A Survey Zifan Shi Sida Peng Yinghao Xu Andreas Geiger Yiyi Liao Yujun Shen MedIm 3DV 47 0 0 27 Oct 2022
Multitask Brain Tumor Inpainting with Diffusion Models: A Methodological Report Pouria Rouzrokh Bardia Khosravi S. Faghani Mana Moassefi Sanaz Vahdati Bradley J. Erickson DiffM MedIm 57 23 0 21 Oct 2022
Boomerang: Local sampling on image manifolds using diffusion models Lorenzo Luzi P. Mayer Josue Casco-Rodriguez Ali Siahkoohi Richard G. Baraniuk DiffM 24 20 0 21 Oct 2022
Generative Range Imaging for Learning Scene Priors of 3D LiDAR Data Kazuto Nakashima Y. Iwashita Ryo Kurazume GAN 3DPC 16 17 0 21 Oct 2022
Progressive Text-to-Image Generation Zhengcong Fei Mingyuan Fan Li Zhu Junshi Huang 67 4 0 05 Oct 2022
On the Convergence of the ELBO to Entropy Sums Jörg Lücke Jan Warnken 23 3 0 07 Sep 2022
A Survey on Generative Diffusion Model Hanqun Cao Cheng Tan Zhangyang Gao Yilun Xu Guangyong Chen Pheng-Ann Heng Stan Z. Li MedIm 37 195 0 06 Sep 2022
Controllable Data Generation by Deep Learning: A Review Shiyu Wang Yuanqi Du Xiaojie Guo Bo Pan Zhaohui Qin Liang Zhao 29 28 0 19 Jul 2022
Data-Driven Modeling of Noise Time Series with Convolutional Generative Adversarial Networks A. Wunderlich Jack G. Sklar AI4TS 29 4 0 03 Jul 2022
Uncertainty Quantification for Deep Unrolling-Based Computational Imaging Canberk Ekmekci Müjdat Çetin UQCV 11 10 0 02 Jul 2022
Megapixel Image Generation with Step-Unrolled Denoising Autoencoders Alex F. McKinney Chris G. Willcocks DiffM 17 0 0 24 Jun 2022
A Study on the Evaluation of Generative Models Eyal Betzalel Coby Penso Aviv Navon Ethan Fetaya EGVM 17 48 0 22 Jun 2022
Explicit and implicit models in infrared and visible image fusion Zixuan Wang Bin Sun 19 1 0 20 Jun 2022
Modeling sRGB Camera Noise with Normalizing Flows Shayan Kousha Ali Maleky M. S. Brown Marcus A. Brubaker 11 27 0 02 Jun 2022
Conditional Vector Graphics Generation for Music Cover Images V. Efimova Ivan Jarsky Ilya Bizyaev Andrey Filchenkov GAN 19 3 0 15 May 2022