Improved Precision and Recall Metric for Assessing Generative Models

15 April 2019

Papers citing "Improved Precision and Recall Metric for Assessing Generative Models"

34 / 184 papers shown

Title
Instance-Conditioned GAN Arantxa Casanova Marlene Careil Jakob Verbeek M. Drozdzal Adriana Romero Soriano GAN 204 132 0 10 Sep 2021
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction Patrick Dendorfer Sven Elflein Laura Leal-Taixé 24 91 0 20 Aug 2021
Sketch Your Own GAN Sheng-Yu Wang David Bau Jun-Yan Zhu GAN 14 69 0 05 Aug 2021
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals Lang Liu Krishna Pillutla Sean Welleck Sewoong Oh Yejin Choi Zaïd Harchaoui MQ 25 14 0 15 Jun 2021
Learning to See by Looking at Noise Manel Baradad Jonas Wulff Tongzhou Wang Phillip Isola Antonio Torralba 26 89 0 10 Jun 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 81 7,420 0 11 May 2021
Learning to design drug-like molecules in three-dimensional space using deep generative models Yibo Li Jianfeng Pei L. Lai DiffM 35 111 0 17 Apr 2021
Nine Potential Pitfalls when Designing Human-AI Co-Creative Systems Daniel Buschek Lukas Mecke Florian Lehmann Hai Dang 13 42 0 01 Apr 2021
Large Scale Image Completion via Co-Modulated Generative Adversarial Networks Shengyu Zhao Jianwei Cui Yilun Sheng Yue Dong Xiao Liang E. Chang Yan Xu 39 290 0 18 Mar 2021
Generating Images with Sparse Representations C. Nash Jacob Menick Sander Dieleman Peter W. Battaglia 19 199 0 05 Mar 2021
Generative Adversarial Transformers Drew A. Hudson C. L. Zitnick ViT 25 179 0 01 Mar 2021
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks J. Lee Haeri Kim Youngkyu Hong Hye Won Chung 25 21 0 24 Feb 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 60 3,517 0 18 Feb 2021
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models Ahmed Alaa B. V. Breugel Evgeny S. Saveliev M. Schaar 50 186 0 17 Feb 2021
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers Krishna Pillutla Swabha Swayamdipta Rowan Zellers John Thickstun Sean Welleck Yejin Choi Zaïd Harchaoui 37 343 0 02 Feb 2021
Adversarial Text-to-Image Synthesis: A Review Stanislav Frolov Tobias Hinz Federico Raue Jörn Hees Andreas Dengel EGVM 22 175 0 25 Jan 2021
Positional Encoding as Spatial Inductive Bias in GANs Rui Xu Xintao Wang Kai-xiang Chen Bolei Zhou Chen Change Loy GAN 27 89 0 09 Dec 2020
Image Generators with Conditionally-Independent Pixel Synthesis Ivan Anokhin K. Demochkin Taras Khakhulin Gleb Sterkin Victor Lempitsky Denis Korzhenkov 22 156 0 27 Nov 2020
Toward a Generalization Metric for Deep Generative Models Hoang Thanh-Tung T. Tran 35 5 0 02 Nov 2020
Multi-Sensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 Imagery Patrick Ebel A. Meraner M. Schmitt Xiaoxiang Zhu 19 111 0 16 Sep 2020
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications Ming-Yu Liu Xun Huang Jiahui Yu Ting-Chun Wang Arun Mallya GAN 28 153 0 06 Aug 2020
Geometrically Enriched Latent Spaces Georgios Arvanitidis Søren Hauberg Bernhard Schölkopf DRL 17 51 0 02 Aug 2020
Data-efficient visuomotor policy training using reinforcement learning and generative models Ali Ghadirzadeh Petra Poklukar Ville Kyrki Danica Kragic Mårten Björkman OffRL 36 9 0 26 Jul 2020
Deep Residual Mixture Models Perttu Hämäläinen Martin Trapp Tuure Saloheimo Arno Solin 28 8 0 22 Jun 2020
Training Generative Adversarial Networks with Limited Data Tero Karras M. Aittala Janne Hellsten S. Laine J. Lehtinen Timo Aila GAN 28 1,855 0 11 Jun 2020
Mimicry: Towards the Reproducibility of GAN Research Kwot Sin Lee C. Town OffRL 15 28 0 05 May 2020
Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes with Applications to Anomaly Detection William Paul I-J. Wang F. Alajaji Philippe Burlina DiffM DRL 18 6 0 25 Feb 2020
Deep Automodulators Ari Heljakka Yuxin Hou Juho Kannala Arno Solin 31 5 0 21 Dec 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2 Ali Razavi Aaron van den Oord Oriol Vinyals DRL BDL 16 1,763 0 02 Jun 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 279 10,354 0 12 Dec 2018
A Large-Scale Study on Regularization and Normalization in GANs Karol Kurach Mario Lucic Xiaohua Zhai Marcin Michalski Sylvain Gelly AI4CE 22 154 0 12 Jul 2018
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 238 3,190 0 30 Oct 2016
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 78 390 0 20 Oct 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 233 2,547 0 25 Jan 2016