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Achieving a balance between image quality (precision) and diversity (recall) is a significant challenge in the domain of generative models.
Improved Precision and Recall Metric for Assessing Generative Models
Tuomas Kynkäänniemi, Tero Karras, Samuli Laine, Jaakko Lehtinen, and Timo Aila · 1904
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Precision-Recall Curves Using Information Divergence Frontiers, June 2020
Josip Djolonga, Mario Lucic, Marco Cuturi, Olivier Bachem, Olivier Bousquet, and Sylvain Gelly · 1905
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Residual Flows for Invertible Generative Modeling
Ricky T. Q. Chen, Jens Behrmann, David Duvenaud, and Jörn-Henrik Jacobsen · 1906
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Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows
Rob Cornish, Anthony L. Caterini, George Deligiannidis, and Arnaud Doucet · 1909
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MMGAN: Generative Adversarial Networks for Multi-Modal Distributions
Teodora Pandeva and Matthias Schubert · 1911
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Analyzing and Improving the Image Quality of StyleGAN, March 2020
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 1912
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Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification
Lynton Ardizzone, Radek Mackowiak, Carsten Rother, and Ullrich Köthe · 2001
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Gradient Boosted Normalizing Flows
Robert Giaquinto and Arindam Banerjee · 2002
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Reliable Fidelity and Diversity Metrics for Generative Models, June 2020
Muhammad Ferjad Naeem, Seong Joon Oh, Youngjung Uh, Yunjey Choi, and Jaejun Yoo · 2002
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Divergence measures and message passing
Thomas Minka · 2005
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Denoising Diffusion Probabilistic Models, December 2020
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2006
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Learning disconnected manifolds: a no GANs land
Ugo Tanielian, Thibaut Issenhuth, Elvis Dohmatob, and Jeremie Mary · 2006
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Methods of Information Geometry
Shun-ichi Amari and Hiroshi Nagaoka · 2007
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Instance Selection for GANs, October 2020
Terrance DeVries, Michal Drozdzal, and Graham W. Taylor · 2007
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Learning multiple layers of features from tiny images
Alex Krizhevsky · 2009
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On surrogate loss functions and $f$-divergences
XuanLong Nguyen, Martin J. Wainwright, and Michael I. Jordan · 2009
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MNIST handwritten digit database
Yann LeCun, Corinna Cortes, and CJ Burges · 2010
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Generative Adversarial Networks
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Deep Learning Face Attributes in the Wild, September 2015
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2015
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ImageNet Large Scale Visual Recognition Challenge, January 2015
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei · 2015
Cited alongside, same era.
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization, June 2016
Sebastian Nowozin, Botond Cseke, and Ryota Tomioka · 2016
Cited alongside, same era.
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende and Shakir Mohamed · 2016
Cited alongside, same era.
Discriminator Rejection Sampling, February 2019
Samaneh Azadi, Catherine Olsson, Trevor Darrell, Ian Goodfellow, and Augustus Odena · 2019
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Invertible Residual Networks
Jens Behrmann, Will Grathwohl, Ricky T. Q. Chen, David Duvenaud, and Jörn-Henrik Jacobsen · 2019
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Large Scale GAN Training for High Fidelity Natural Image Synthesis, February 2019
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2019
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Boosted Density Estimation Remastered
Zac Cranko and Richard Nock · 2019
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A Style-Based Generator Architecture for Generative Adversarial Networks, March 2019
Tero Karras, Samuli Laine, and Timo Aila · 2019
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Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen · 2016
Cited alongside, same era.
Mode Regularized Generative Adversarial Networks, March 2017
Tong Che, Yanran Li, Athul Paul Jacob, Yoshua Bengio, and Wenjie Li · 2017
Cited alongside, same era.
Density estimation using Real NVP, February 2017
Laurent Dinh, Jascha Sohl-Dickstein, and Samy Bengio · 2017
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Boosted Generative Models, December 2017
Aditya Grover and Stefano Ermon · 2017
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GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Unrolled Generative Adversarial Networks, May 2017
Luke Metz, Ben Poole, David Pfau, and Jascha Sohl-Dickstein · 2017
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Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms, September 2017
Han Xiao, Kashif Rasul, and Roland Vollgraf · 2017
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Matan Ben-Yosef and Daphna Weinshall · 2018
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Revisiting precision recall definition for generative modeling
Loic Simon, Ryan Webster, and Julien Rabin · 2019
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Densely connected normalizing flows, November 2021
Matej Grcić, Ivan Grubišić, and Siniša Šegvić · 2021
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Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Sean Welleck, Yejin Choi, and Zaid Harchaoui · 2021
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Latent reweighting, an almost free improvement for GANs
Thibaut Issenhuth, Ugo Tanielian, David Picard, and Jeremie Mary · 2022
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StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
Axel Sauer, Katja Schwarz, and Andreas Geiger · 2022
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Resampling Base Distributions of Normalizing Flows
Vincent Stimper, Bernhard Schölkopf, and José Miguel Hernández-Lobato · 2022
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Precision Recall Cover: A Method For Assessing Generative Models
Fasil Cheema and Ruth Urner · 2023
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Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models
Dongjun Kim, Yeongmin Kim, Se Jung Kwon, Wanmo Kang, and Il-Chul Moon · 2023
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Mode-Seeking Divergences: Theory and Applications to GANs
Cheuk Ting Li and Farzan Farnia · 2023
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Input Perturbation Reduces Exposure Bias in Diffusion Models, February 2023
Mang Ning, Enver Sangineto, Angelo Porrello, Simone Calderara, and Rita Cucchiara · 2023
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On the Theoretical Equivalence of Several Trade-Off Curves Assessing Statistical Proximity
Rodrigue Siry, Ryan Webster, Loic Simon, and Julien Rabin · 2023
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On the expressivity of bi-Lipschitz normalizing flows
Alexandre Verine, Benjamin Negrevergne, Yann Chevaleyre, and Fabrice Rossi · 2023
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