A note on the evaluation of generative models

5 November 2015

Papers citing "A note on the evaluation of generative models"

50 / 259 papers shown

Title
DiffPattern-Flex: Efficient Layout Pattern Generation via Discrete Diffusion Zixiao Wang Wenqian Zhao Yunheng Shen Yang Bai Guojin Chen Farzan Farnia Bei Yu 33 0 0 07 May 2025
A Large Language Model for Feasible and Diverse Population Synthesis Sung Yoo Lim Hyunsoo Yun P. Bansal Dong-Kyu Kim Eui-Jin Kim SyDa 51 0 0 07 May 2025
What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative Models Jan Kapar Niklas Koenen Martin Jullum 66 0 0 29 Apr 2025
Offline Learning of Controllable Diverse Behaviors Mathieu Petitbois Rémy Portelas Sylvain Lamprier Ludovic Denoyer OffRL 41 0 0 25 Apr 2025
OmniSVG: A Unified Scalable Vector Graphics Generation Model Yiying Yang Wei Cheng Sijin Chen Xianfang Zeng Jiaxu Zhang Liao Wang Gang Yu Xingjun Ma Yu Jiang VLM 45 0 0 08 Apr 2025
A Pragmatic Note on Evaluating Generative Models with Fréchet Inception Distance for Retinal Image Synthesis Yuli Wu Fucheng Liu Rüveyda Yilmaz Henning Konermann Peter Walter Johannes Stegmaier EGVM MedIm 55 1 0 24 Feb 2025
Privacy Vulnerabilities in Marginals-based Synthetic Data Steven Golob Sikha Pentyala Anuar Maratkhan Martine De Cock 26 3 0 07 Oct 2024
ScoreFusion: Fusing Score-based Generative Models via Kullback-Leibler Barycenters Hao Liu Junze Tony Ye Ye Jose H. Blanchet DiffM FedML 40 1 0 28 Jun 2024
Generative Assignment Flows for Representing and Learning Joint Distributions of Discrete Data Bastian Boll Daniel Gonzalez-Alvarado Stefania Petra Christoph Schnörr 49 4 0 06 Jun 2024
Categorical Flow Matching on Statistical Manifolds Chaoran Cheng Jiahan Li Jian-wei Peng Ge Liu 66 10 0 26 May 2024
A Misleading Gallery of Fluid Motion by Generative Artificial Intelligence Ali Kashefi VGen 55 5 0 24 May 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
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation Pablo Lemos Sammy N. Sharief Nikolay Malkin Laurence Perreault Levasseur Y. Hezaveh Laurence Perreault-Levasseur Yashar Hezaveh 39 3 0 06 Feb 2024
STREAM: Spatio-TempoRal Evaluation and Analysis Metric for Video Generative Models Pum Jun Kim Seojun Kim Jaejun Yoo EGVM 30 3 0 30 Jan 2024
PIXAR: Auto-Regressive Language Modeling in Pixel Space Yintao Tai Xiyang Liao Alessandro Suglia Antonio Vergari MLLM 26 7 0 06 Jan 2024
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting Shane Bergsma Timothy J. Zeyl J. R. Anaraki Lei Guo BDL AI4TS 28 10 0 22 Dec 2023
Tell Me What You See: Text-Guided Real-World Image Denoising E. Yosef Raja Giryes DiffM 59 2 0 15 Dec 2023
Metric Space Magnitude for Evaluating the Diversity of Latent Representations K. Limbeck R. Andreeva Rik Sarkar Bastian Alexander Rieck 39 3 0 27 Nov 2023
Matching aggregate posteriors in the variational autoencoder Surojit Saha Sarang Joshi Ross T. Whitaker DRL 37 4 0 13 Nov 2023
Out-of-distribution detection using normalizing flows on the data manifold S. Razavi M. Mehmanchi Reshad Hosseini Mostafa Tavassolipour OODD 53 0 0 26 Aug 2023
Steering Language Generation: Harnessing Contrastive Expert Guidance and Negative Prompting for Coherent and Diverse Synthetic Data Generation Charles OÑeill Y. Ting 丁 I. Ciucă Jack Miller Thang Bui SyDa 44 1 0 15 Aug 2023
Adversarial Latent Autoencoder with Self-Attention for Structural Image Synthesis Jiajie Fan L. Vuaille Hongya Wang Thomas Bäck AI4CE 27 5 0 19 Jul 2023
Multiscale Flow for Robust and Optimal Cosmological Analysis B. Dai U. Seljak 21 17 0 07 Jun 2023
MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies Shiyue Zhang Shijie Wu Ozan Irsoy Steven Lu Joey Tianyi Zhou Mark Dredze David S. Rosenberg 25 9 0 26 May 2023
Goodness of fit by Neyman-Pearson testing Gaia Grosso Marco Letizia M. Pierini A. Wulzer 19 6 0 23 May 2023
Computing high-dimensional optimal transport by flow neural networks Chen Xu Xiuyuan Cheng Yao Xie OT 45 4 0 19 May 2023
Exploring Continual Learning of Diffusion Models Michal Zajac Kamil Deja Anna Kuzina Jakub M. Tomczak Tomasz Trzciñski Florian Shkurti Piotr Milo's DiffM 35 11 0 27 Mar 2023
Weakly Supervised Label Learning Flows You Lu Chidubem Arachie Bert Huang 26 0 0 19 Feb 2023
Human Image Generation: A Comprehensive Survey Zhen Jia Zhang Zhang Liangsheng Wang Tieniu Tan EGVM 3DH VGen 43 5 0 17 Dec 2022
Denoising Deep Generative Models G. Loaiza-Ganem Brendan Leigh Ross Luhuan Wu John P. Cunningham Jesse C. Cresswell Anthony L. Caterini DiffM 36 5 0 30 Nov 2022
Statistical treatment of convolutional neural network super-resolution of inland surface wind for subgrid-scale variability quantification Daniel J. Getter J. Bessac J. Rudi Yan Feng 27 0 0 30 Nov 2022
Taming Normalizing Flows Shimon Malnick S. Avidan Ohad Fried TPM DiffM 29 1 0 29 Nov 2022
Listen, Denoise, Action! Audio-Driven Motion Synthesis with Diffusion Models Simon Alexanderson Rajmund Nagy Jonas Beskow G. Henter DiffM VGen 26 166 0 17 Nov 2022
Proper losses for discrete generative models Rafael Frongillo Dhamma Kimpara Bo Waggoner 24 3 0 07 Nov 2022
Evaluation of Categorical Generative Models -- Bridging the Gap Between Real and Synthetic Data Florence Regol Anja Kroon Mark J. Coates ELM EGVM 41 1 0 28 Oct 2022
Minimum Kernel Discrepancy Estimators Chris J. Oates 32 10 0 28 Oct 2022
Multi-level Data Representation For Training Deep Helmholtz Machines J. M. Ramos Luis Sa-Couto Andreas Wichert 18 0 0 26 Oct 2022
A Pareto-optimal compositional energy-based model for sampling and optimization of protein sequences Natavsa Tagasovska Nathan C. Frey Andreas Loukas I. Hotzel J. Lafrance-Vanasse ... A. Rajpal Richard Bonneau Kyunghyun Cho Stephen Ra Vladimir Gligorijević 18 11 0 19 Oct 2022
Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory Ali Zafari Atefeh Khoshkhahtinat P. Mehta Nasser M. Nasrabadi B. Thompson D. D. Silva M. Kirk 13 9 0 12 Oct 2022
Optimization of Annealed Importance Sampling Hyperparameters Shirin Goshtasbpour Fernando Perez-Cruz 27 1 0 27 Sep 2022
Continuous Mixtures of Tractable Probabilistic Models Alvaro H. C. Correia G. Gala Erik Quaeghebeur Cassio de Campos Robert Peharz TPM 19 18 0 21 Sep 2022
Continuously Controllable Facial Expression Editing in Talking Face Videos Zhiyao Sun Yu-Hui Wen Tian Lv Y. Sun Ziyang Zhang Yaoyuan Wang Lingjuan Lyu CVBM 40 10 0 17 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Tengjiao Wang Ming-Hsuan Yang DiffM MedIm 226 1,314 0 02 Sep 2022
Evaluating generative audio systems and their metrics Ashvala Vinay Alexander Lerch 35 19 0 31 Aug 2022
A Realism Metric for Generated LiDAR Point Clouds Larissa T. Triess Christoph B. Rist David Peter J. Marius Zöllner 3DPC 37 8 0 31 Aug 2022
Maximum Likelihood on the Joint (Data, Condition) Distribution for Solving Ill-Posed Problems with Conditional Flow Models John Shelton Hyatt 21 1 0 24 Aug 2022
Neural PCA for Flow-Based Representation Learning Shen Li Bryan Hooi DRL 13 1 0 23 Aug 2022
Demystifying Randomly Initialized Networks for Evaluating Generative Models Junghyuk Lee Jun-Hyuk Kim Jong-Seok Lee EGVM 27 0 0 19 Aug 2022
AdaCat: Adaptive Categorical Discretization for Autoregressive Models Qiyang Li Ajay Jain Pieter Abbeel OffRL 45 4 0 03 Aug 2022
A Deep Generative Model for Feasible and Diverse Population Synthesis Eui-Jin Kim P. Bansal 25 15 0 01 Aug 2022