Spectral Normalization for Generative Adversarial Networks

16 February 2018

Papers citing "Spectral Normalization for Generative Adversarial Networks"

50 / 1,382 papers shown

Title
Learning-Rate-Free Learning: Dissecting D-Adaptation and Probabilistic Line Search Max McGuinness ODL 22 0 0 06 Aug 2023
Generative adversarial networks with physical sound field priors X. Karakonstantis Efren Fernandez-Grande GAN 27 12 0 01 Aug 2023
StarSRGAN: Improving Real-World Blind Super-Resolution K. Vo Len T. Bui 37 5 0 30 Jul 2023
What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Network Zi-Shun Huang Boheng Li Yan Cai Run Wang Shangwei Guo Liming Fang Jing Chen Lina Wang 38 11 0 29 Jul 2023
Shrink-Perturb Improves Architecture Mixing during Population Based Training for Neural Architecture Search A. Chebykin A. Dushatskiy Tanja Alderliesten Peter A. N. Bosman 44 0 0 28 Jul 2023
Learning with Constraint Learning: New Perspective, Solution Strategy and Various Applications Risheng Liu Jiaxin Gao Xuan Liu Xin-Yue Fan 40 9 0 28 Jul 2023
Regularizing Neural Networks with Meta-Learning Generative Models Shin'ya Yamaguchi Daiki Chijiwa Sekitoshi Kanai Atsutoshi Kumagai H. Kashima 44 5 0 26 Jul 2023
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry Yong-Hyun Park Mingi Kwon J. Choi Junghyo Jo Youngjung Uh DiffM 40 60 0 24 Jul 2023
Hallucination Improves the Performance of Unsupervised Visual Representation Learning Jing Wu Jennifer Hobbs N. Hovakimyan SSL 34 20 0 22 Jul 2023
Edge Guided GANs with Multi-Scale Contrastive Learning for Semantic Image Synthesis Hao Tang Guolei Sun N. Sebe Luc Van Gool GAN 41 9 0 22 Jul 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
Generative Prompt Model for Weakly Supervised Object Localization Yuzhong Zhao QiXiang Ye Weijia Wu Chunhua Shen Fang Wan WSOL VLM DiffM 37 28 0 19 Jul 2023
Audio-driven Talking Face Generation with Stabilized Synchronization Loss Dogucan Yaman Fevziye Irem Eyiokur Leonard Barmann H. K. Ekenel Alexander Waibel CVBM 40 3 0 18 Jul 2023
DARTS: Double Attention Reference-based Transformer for Super-resolution Masoomeh Aslahishahri Jordan R. Ubbens Ian Stavness 33 3 0 17 Jul 2023
A Novel Application of Conditional Normalizing Flows: Stellar Age Inference with Gyrochronology P. Van-Lane J. Speagle S. Douglas 21 1 0 17 Jul 2023
Quaternion Convolutional Neural Networks: Current Advances and Future Directions Gerardo Altamirano-Gomez C. Gershenson 37 3 0 17 Jul 2023
Image Captions are Natural Prompts for Text-to-Image Models Shiye Lei Hao Chen Senyang Zhang Bo Zhao Dacheng Tao VLM 32 19 0 17 Jul 2023
Expressive Monotonic Neural Networks O. Kitouni Niklas Nolte Mike Williams 19 6 0 14 Jul 2023
CellGAN: Conditional Cervical Cell Synthesis for Augmenting Cytopathological Image Classification Zhenrong Shen Mao-Hong Cao Sheng Wang Lichi Zhang Qian Wang MedIm 29 7 0 12 Jul 2023
A Bayesian approach to quantifying uncertainties and improving generalizability in traffic prediction models Agnimitra Sengupta Sudeepta Mondal A. Das S. I. Guler BDL UQCV 32 11 0 12 Jul 2023
Joint Salient Object Detection and Camouflaged Object Detection via Uncertainty-aware Learning Aixuan Li Jing Zhang Yun-Qiu Lv Tong Zhang Yiran Zhong Mingyi He Yuchao Dai 31 2 0 10 Jul 2023
Dynamical Isometry based Rigorous Fair Neural Architecture Search Jianxiang Luo Junyi Hu Tianji Pang Weihao Huang Chuan-Hsi Liu 21 0 0 05 Jul 2023
Generative Adversarial Networks for Dental Patient Identity Protection in Orthodontic Educational Imaging Mingchuan Tian Wilson Weixun Lu K. Foong E. Loh MedIm 21 2 0 05 Jul 2023
Stability Analysis Framework for Particle-based Distance GANs with Wasserstein Gradient Flow Chuqi Chen Yue Wu Yang Xiang GAN 17 0 0 04 Jul 2023
Training Energy-Based Models with Diffusion Contrastive Divergences Weijian Luo Hao Jiang Tianyang Hu Jiacheng Sun ZeLin Li Zhihua Zhang DiffM 25 8 0 04 Jul 2023
Designing Stable Neural Networks using Convex Analysis and ODEs Ferdia Sherry E. Celledoni Matthias Joachim Ehrhardt Davide Murari B. Owren Carola-Bibiane Schönlieb 22 12 0 29 Jun 2023
TemperatureGAN: Generative Modeling of Regional Atmospheric Temperatures Emmanuel Balogun Ram Rajagopal Arun Majumdar 37 1 0 29 Jun 2023
Recent Advances in Optimal Transport for Machine Learning Eduardo Fernandes Montesuma Fred-Maurice Ngole-Mboula Antoine Souloumiac OOD OT 20 32 0 28 Jun 2023
Penalty Gradient Normalization for Generative Adversarial Networks Tian Xia GAN 21 1 0 23 Jun 2023
PP-GAN : Style Transfer from Korean Portraits to ID Photos Using Landmark Extractor with GAN Jongwook Si Sungyoung Kim GAN CVBM 21 2 0 23 Jun 2023
Semi-Implicit Denoising Diffusion Models (SIDDMs) Yanwu Xu Min Gong Shaoan Xie Wei Wei Matthias Grundmann Kayhan Batmanghelich Tingbo Hou DiffM 25 12 0 21 Jun 2023
Density Uncertainty Layers for Reliable Uncertainty Estimation Yookoon Park David M. Blei UQCV BDL 35 2 0 21 Jun 2023
ViTEraser: Harnessing the Power of Vision Transformers for Scene Text Removal with SegMIM Pretraining Dezhi Peng Chongyu Liu Yuliang Liu Lianwen Jin DiffM 27 9 0 21 Jun 2023
Probabilistic Matching of Real and Generated Data Statistics in Generative Adversarial Networks Philipp Pilar Niklas Wahlström GAN 18 1 0 19 Jun 2023
Referenceless User Controllable Semantic Image Synthesis Jong-Han Kim Gen Li Joongkyu Kim DiffM 24 0 0 18 Jun 2023
Towards Stability of Autoregressive Neural Operators Michael McCabe P. Harrington Shashank Subramanian Jed Brown AI4CE 44 17 0 18 Jun 2023
Stabilizing GANs' Training with Brownian Motion Controller Tianjiao Luo Ziyu Zhu Jianfei Chen Jun Zhu 26 4 0 18 Jun 2023
Towards Better Certified Segmentation via Diffusion Models Othmane Laousy Alexandre Araujo G. Chassagnon M. Revel S. Garg Farshad Khorrami Maria Vakalopoulou DiffM 44 2 0 16 Jun 2023
Towards Better Orthogonality Regularization with Disentangled Norm in Training Deep CNNs Changhao Wu Shenan Zhang Fangsong Long Ziliang Yin Tuo Leng 18 0 0 16 Jun 2023
Understanding Deep Generative Models with Generalized Empirical Likelihoods Suman V. Ravuri Mélanie Rey S. Mohamed M. Deisenroth VLM 30 5 0 16 Jun 2023
Self-supervised Deep Hyperspectral Inpainting with the Sparsity and Low-Rank Considerations Shuo Li Mehrdad Yaghoobi 20 0 0 13 Jun 2023
Dynamically Masked Discriminator for Generative Adversarial Networks Wentian Zhang Haozhe Liu Bing Li Jinheng Xie Yawen Huang Yuexiang Li Yefeng Zheng Guohao Li TTA 43 2 0 13 Jun 2023
Mitigating Transformer Overconfidence via Lipschitz Regularization Wenqian Ye Yunsheng Ma Xu Cao Kun Tang 26 13 0 12 Jun 2023
A Deep Unrolling Model with Hybrid Optimization Structure for Hyperspectral Image Deconvolution A. Gkillas D. Ampeliotis K. Berberidis 41 0 0 10 Jun 2023
Ownership Protection of Generative Adversarial Networks Hailong Hu Jun Pang AAML 24 1 0 08 Jun 2023
ATT3D: Amortized Text-to-3D Object Synthesis Jonathan Lorraine Kevin Xie Fangyin Wei Chen-Hsuan Lin Towaki Takikawa Nicholas Sharp Nayeon Lee Xuan Li Sanja Fidler James Lucas DiffM 28 86 0 06 Jun 2023
Effective Intrusion Detection in Highly Imbalanced IoT Networks with Lightweight S2CGAN-IDS Caihong Wang Du Xu Zonghang Li Dusit Niyato 11 5 0 06 Jun 2023
ZIGNeRF: Zero-shot 3D Scene Representation with Invertible Generative Neural Radiance Fields Kanghyeok Ko Minhyeok Lee 39 2 0 05 Jun 2023
GAT-GAN : A Graph-Attention-based Time-Series Generative Adversarial Network Srikrishna Iyer Teck-Hou Teng AI4TS 23 1 0 03 Jun 2023
ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages Andrew Jesson Chris Xiaoxuan Lu Gunshi Gupta Angelos Filos Jakob N. Foerster Y. Gal OffRL 29 5 0 02 Jun 2023