ContraFeat: Contrasting Deep Features for Semantic Discovery

14 December 2022

Papers citing "ContraFeat: Contrasting Deep Features for Semantic Discovery"

37 / 37 papers shown

Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 134 30,021 0 01 Mar 2022
Commutative Lie Group VAE for Disentanglement Learning Xinqi Zhu Chang Xu Dacheng Tao CoGe DRL 55 24 0 07 Jun 2021
Where and What? Examining Interpretable Disentangled Representations Xinqi Zhu Chang Xu Dacheng Tao FAtt DRL 66 38 0 07 Apr 2021
LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions Oğuz Kaan Yüksel Enis Simsar Ezgi Gulperi Er Pinar Yanardag SSL 48 61 0 02 Apr 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 666 28,659 0 26 Feb 2021
GAN "Steerability" without optimization Nurit Spingarn-Eliezer Ron Banner T. Michaeli LLMSV 42 56 0 09 Dec 2020
Closed-Form Factorization of Latent Semantics in GANs Yujun Shen Bolei Zhou GAN 68 589 0 13 Jul 2020
GANSpace: Discovering Interpretable GAN Controls Erik Härkönen Aaron Hertzmann J. Lehtinen Sylvain Paris 89 900 0 06 Apr 2020
Unsupervised Discovery of Interpretable Directions in the GAN Latent Space A. Voynov Artem Babenko 113 417 0 10 Feb 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 201 315 0 07 Feb 2020
Controlling generative models with continuous factors of variations Antoine Plumerault Hervé Le Borgne C´eline Hudelot DRL 51 127 0 28 Jan 2020
Analyzing and Improving the Image Quality of StyleGAN Tero Karras S. Laine M. Aittala Janne Hellsten J. Lehtinen Timo Aila GAN 252 5,769 0 03 Dec 2019
Image2StyleGAN++: How to Edit the Embedded Images? Rameen Abdal Yipeng Qin Peter Wonka 66 554 0 26 Nov 2019
Interpreting the Latent Space of GANs for Semantic Face Editing Yujun Shen Jinjin Gu Xiaoou Tang Bolei Zhou CVBM GAN 88 1,117 0 25 Jul 2019
On the "steerability" of generative adversarial networks Ali Jahanian Lucy Chai Phillip Isola GAN OOD 113 397 0 16 Jul 2019
Variational Autoencoders and Nonlinear ICA: A Unifying Framework Ilyes Khemakhem Diederik P. Kingma Ricardo Pio Monti Aapo Hyvarinen OOD 48 578 0 10 Jul 2019
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs Zinan Lin K. K. Thekumparampil Giulia Fanti Sewoong Oh DRL 52 37 0 14 Jun 2019
Flexibly Fair Representation Learning by Disentanglement Elliot Creager David Madras J. Jacobsen Marissa A. Weis Kevin Swersky T. Pitassi R. Zemel FaML OOD 109 331 0 06 Jun 2019
On the Fairness of Disentangled Representations Francesco Locatello G. Abbati Tom Rainforth Stefan Bauer Bernhard Schölkopf Olivier Bachem FaML DRL 49 226 0 31 May 2019
Domain Agnostic Learning with Disentangled Representations Xingchao Peng Zijun Huang Ximeng Sun Kate Saenko OOD DRL 53 259 0 28 Apr 2019
Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space? Rameen Abdal Yipeng Qin Peter Wonka GAN 93 1,109 0 05 Apr 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 502 10,466 0 12 Dec 2018
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 86 1,451 0 29 Nov 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock Jeff Donahue Karen Simonyan 213 5,363 0 28 Sep 2018
Diverse Image-to-Image Translation via Disentangled Representations Hsin-Ying Lee Hung-Yu Tseng Jia-Bin Huang M. Singh Ming-Hsuan Yang DRL 40 907 0 02 Aug 2018
DiDA: Disentangled Synthesis for Domain Adaptation Jinming Cao Oren Katzir Peng-Tao Jiang Dani Lischinski Danny Cohen-Or Changhe Tu Yangyan Li 43 35 0 21 May 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 42 1,336 0 16 Feb 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 259 11,610 0 11 Jan 2018
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations Abhishek Kumar P. Sattigeri Avinash Balakrishnan BDL DRL 47 520 0 02 Nov 2017
Progressive Growing of GANs for Improved Quality, Stability, and Variation Tero Karras Timo Aila S. Laine J. Lehtinen GAN 100 7,318 0 27 Oct 2017
Fader Networks: Manipulating Images by Sliding Attributes Guillaume Lample Neil Zeghidour Nicolas Usunier Antoine Bordes Ludovic Denoyer MarcÁurelio Ranzato DRL GAN 83 544 0 01 Jun 2017
Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations Diane Bouchacourt Ryota Tomioka Sebastian Nowozin BDL OOD DRL 40 310 0 24 May 2017
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 138 4,224 0 12 Jun 2016
Attribute2Image: Conditional Image Generation from Visual Attributes Xinchen Yan Jimei Yang Kihyuk Sohn Honglak Lee DRL GAN 52 769 0 02 Dec 2015
Deep Convolutional Inverse Graphics Network Tejas D. Kulkarni William F. Whitney Pushmeet Kohli J. Tenenbaum DRL BDL 78 929 0 11 Mar 2015
Learning to Generate Chairs, Tables and Cars with Convolutional Networks Alexey Dosovitskiy Jost Tobias Springenberg Maxim Tatarchenko Thomas Brox GAN 104 676 0 21 Nov 2014
Semi-Supervised Learning with Deep Generative Models Diederik P. Kingma Danilo Jimenez Rezende S. Mohamed Max Welling GAN SSL BDL 63 2,731 0 20 Jun 2014