Gradient Normalization for Generative Adversarial Networks

6 September 2021

Papers citing "Gradient Normalization for Generative Adversarial Networks"

24 / 24 papers shown

Title
Neural Collage Transfer: Artistic Reconstruction via Material Manipulation Ganghun Lee Minji Kim Yunsu Lee M. Lee Byoung-Tak Zhang DiffM 9 2 0 03 Nov 2023
Accelerated Neural Network Training with Rooted Logistic Objectives Zhu Wang Praveen Raj Veluswami Harshit Mishra Sathya Ravi 6 0 0 05 Oct 2023
Structural Adversarial Objectives for Self-Supervised Representation Learning Xiao Zhang Michael Maire 6 0 0 30 Sep 2023
EqGAN: Feature Equalization Fusion for Few-shot Image Generation Yingbo Zhou Zhihao Yue Yutong Ye Pengyu Zhang Xian Wei Mingsong Chen 19 1 0 27 Jul 2023
Bone mineral density estimation from a plain X-ray image by learning decomposition into projections of bone-segmented computed tomography Yidong Gu Yoshito Otake Keisuke Uemura Mazen Soufi Masaki Takao Hugues Talbot S. Okada Nobuhiko Sugano Yoshinobu Sato OOD 16 10 0 21 Jul 2023
Stability Analysis Framework for Particle-based Distance GANs with Wasserstein Gradient Flow Chuqi Chen Yue Wu Yang Xiang GAN 11 0 0 04 Jul 2023
Penalty Gradient Normalization for Generative Adversarial Networks Tian Xia GAN 14 1 0 23 Jun 2023
Robust low-rank training via approximate orthonormal constraints Dayana Savostianova Emanuele Zangrando Gianluca Ceruti Francesco Tudisco 8 9 0 02 Jun 2023
Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint Wei Liu Jun Wang Haozhao Wang Rui Li Yang Qiu Yuankai Zhang Jie Han Yixiong Zou 34 12 0 23 May 2023
Balanced Training for Sparse GANs Yite Wang Jing Wu N. Hovakimyan Ruoyu Sun 19 9 0 28 Feb 2023
Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks Bowen Tian Qinliang Su Jianxing Yu 16 1 0 03 Feb 2023
Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation Chengqian Gao Kelvin Xu Liu Liu Deheng Ye P. Zhao Zhiqiang Xu OffRL 24 2 0 19 Oct 2022
Improving GANs with a Feature Cycling Generator Seung-won Park Y. Shin 6 0 0 18 Oct 2022
SCAM! Transferring humans between images with Semantic Cross Attention Modulation Nicolas Dufour David Picard Vicky Kalogeiton 47 13 0 10 Oct 2022
On Deep Learning in Password Guessing, a Survey Fang Yu AAML 11 3 0 22 Aug 2022
GNPassGAN: Improved Generative Adversarial Networks For Trawling Offline Password Guessing Fang Yu Miguel Vargas Martin GAN 19 7 0 14 Aug 2022
BMD-GAN: Bone mineral density estimation using x-ray image decomposition into projections of bone-segmented quantitative computed tomography using hierarchical learning Yidong Gu Y. Otake Keisuke Uemura Mazen Soufi Masaki Takao Nobuhiko Sugano Yoshinobu Sato 13 5 0 07 Jul 2022
A Novel Generator with Auxiliary Branch for Improving GAN Performance Seung-won Park Y. Shin 13 7 0 30 Dec 2021
Generative Convolution Layer for Image Generation Seung-won Park Y. Shin 11 11 0 30 Nov 2021
GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks Vineeth S. Bhaskara Tristan Aumentado-Armstrong Allan D. Jepson Alex Levinshtein GAN 24 5 0 04 Nov 2021
Exploring The Effect of High-frequency Components in GANs Training Ziqiang Li Pengfei Xia Xue Rui Bin Li GAN 28 16 0 20 Mar 2021
A Systematic Survey of Regularization and Normalization in GANs Ziqiang Li Muhammad Usman Rentuo Tao Pengfei Xia Xintian Wu Huanhuan Chen Bin Li 8 49 0 19 Aug 2020
A New Perspective on Stabilizing GANs training: Direct Adversarial Training Ziqiang Li Pengfei Xia Rentuo Tao Hongjing Niu Bin Li GAN 16 29 0 19 Aug 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,320 0 12 Dec 2018