LOGAN: Latent Optimisation for Generative Adversarial Networks

2 December 2019

Papers citing "LOGAN: Latent Optimisation for Generative Adversarial Networks"

23 / 23 papers shown

Title
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning Amey P. Pasarkar Adji Bousso Dieng 34 11 0 19 Oct 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
Synthesizing PET images from High-field and Ultra-high-field MR images Using Joint Diffusion Attention Model Taofeng Xie Chentao Cao Zhuoxu Cui Yu Guo Caiying Wu ... Dong Liang Qiyu Jin Hongwu Zeng Guoqing Chen Haifeng Wang DiffM MedIm 36 10 0 06 May 2023
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise Arpit Bansal Eitan Borgnia Hong-Min Chu Jie S. Li Hamid Kazemi Furong Huang Micah Goldblum Jonas Geiping Tom Goldstein VLM DiffM 30 264 0 19 Aug 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 22 3,681 0 26 Jul 2022
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models Fan Bao Chongxuan Li Jun Zhu Bo Zhang DiffM 57 338 0 17 Jan 2022
Joint inference and input optimization in equilibrium networks Swaminathan Gurumurthy Shaojie Bai Zachary Manchester J. Zico Kolter 34 19 0 25 Nov 2021
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction Xili Dai Shengbang Tong Mingyang Li Ziyang Wu Michael Psenka ... Pengyuan Zhai Yaodong Yu Xiaojun Yuan Harry Shum Yi Ma 25 30 0 12 Nov 2021
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training Minguk Kang Woohyeon Shim Minsu Cho Jaesik Park GAN 44 108 0 01 Nov 2021
Bridging the Gap between Label- and Reference-based Synthesis in Multi-attribute Image-to-Image Translation Qiusheng Huang Zhilin Zheng Xueqi Hu Li Sun Qingli Li 21 4 0 11 Oct 2021
Is Attention Better Than Matrix Decomposition? Zhengyang Geng Meng-Hao Guo Hongxu Chen Xia Li Ke Wei Zhouchen Lin 62 138 0 09 Sep 2021
Intrinsic Dimension Estimation Using Wasserstein Distances Adam Block Zeyu Jia Yury Polyanskiy Alexander Rakhlin 33 21 0 08 Jun 2021
Cascaded Diffusion Models for High Fidelity Image Generation Jonathan Ho Chitwan Saharia William Chan David J. Fleet Mohammad Norouzi Tim Salimans 87 1,183 0 30 May 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 85 7,480 0 11 May 2021
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data Damien Dablain Bartosz Krawczyk Nitesh Chawla 29 263 0 05 May 2021
Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection Xu Guo Boyang Albert Li Han Yu Chunyan Miao AAML 28 17 0 19 Apr 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
Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games Stratis Skoulakis Tanner Fiez Ryan Sim Georgios Piliouras Lillian J. Ratliff 24 13 0 15 Dec 2020
Quantitative analysis of robot gesticulation behavior Unai Zabala I. Rodriguez J. M. Martínez-Otzeta I. Irigoien E. Lazkano SLR 31 10 0 22 Oct 2020
A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets Gauthier Gidel David Balduzzi Wojciech M. Czarnecki M. Garnelo Yoram Bachrach 29 7 0 14 Feb 2020
Improved Consistency Regularization for GANs Zhengli Zhao Sameer Singh Honglak Lee Zizhao Zhang Augustus Odena Han Zhang 32 153 0 11 Feb 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 33 821 0 20 Jan 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 312 10,391 0 12 Dec 2018