Improved Techniques for Training GANs

10 June 2016

Papers citing "Improved Techniques for Training GANs"

50 / 4,102 papers shown

Title
Denoising diffusion algorithm for inverse design of microstructures with fine-tuned nonlinear material properties Nikolaos N. Vlassis WaiChing Sun AI4CE DiffM 116 51 0 24 Feb 2023
SurvivalGAN: Generating Time-to-Event Data for Survival Analysis Alexander Norcliffe B. Cebere F. Imrie Pietro Lio M. Schaar SyDa 72 15 0 24 Feb 2023
Vid2Avatar: 3D Avatar Reconstruction from Videos in the Wild via Self-supervised Scene Decomposition Chen Guo Tianjian Jiang Xu Chen Mingli Song Otmar Hilliges 3DH 97 105 0 22 Feb 2023
Entity-Level Text-Guided Image Manipulation Yikai Wang Jianan Wang Guansong Lu Hang Xu Zhenguo Li Wei Zhang Yanwei Fu VGen 68 3 0 22 Feb 2023
Steerable Equivariant Representation Learning Sangnie Bhardwaj Willie McClinton Tongzhou Wang Guillaume Lajoie Chen Sun Phillip Isola Dilip Krishnan OOD LLMSV 69 5 0 22 Feb 2023
Scalable Infomin Learning Yanzhi Chen Wei-Der Sun Yingzhen Li Adrian Weller 102 8 0 21 Feb 2023
On Calibrating Diffusion Probabilistic Models Tianyu Pang Cheng Lu Chao Du Min Lin Shuicheng Yan Zhijie Deng DiffM 106 2 0 21 Feb 2023
Texturize a GAN Using a Single Image Pengda Xiang Sitao Xiang Yajie Zhao GAN 91 0 0 21 Feb 2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels Zebin You Yong Zhong Fan Bao Jiacheng Sun Chongxuan Li Jun Zhu DiffM VLM 283 42 0 21 Feb 2023
EEG2IMAGE: Image Reconstruction from EEG Brain Signals Prajwal Singh Pankaja Pandey Krishna P. Miyapuram Shanmuganathan Raman 92 37 0 20 Feb 2023
Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network Xiaojian Yuan Kejiang Chen Jie Zhang Weiming Zhang Neng H. Yu Yangyi Zhang 68 39 0 20 Feb 2023
Closed-Loop Transcription via Convolutional Sparse Coding Xili Dai Kai Chen Shengbang Tong Jingyuan Zhang Xingjian Gao ... Yuexiang Zhai Xiaojun Yuan H. Shum L. Ni Yi Ma DiffM DRL 82 6 0 18 Feb 2023
PAC-Bayesian Generalization Bounds for Adversarial Generative Models S. Mbacke Florence Clerc Pascal Germain 104 9 0 17 Feb 2023
LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation Jiaxin Cheng Xiao Liang Xingjian Shi Tong He Tianjun Xiao Mu Li DiffM 82 69 0 16 Feb 2023
Video Probabilistic Diffusion Models in Projected Latent Space Sihyun Yu Kihyuk Sohn Subin Kim Jinwoo Shin VGen DiffM 103 172 0 15 Feb 2023
Synthesizing audio from tongue motion during speech using tagged MRI via transformer Xiaofeng Liu Fangxu Xing Jerry L. Prince M. Stone Xiaofeng Liu Jonghye Woo MedIm 71 1 0 14 Feb 2023
Make Your Brief Stroke Real and Stereoscopic: 3D-Aware Simplified Sketch to Portrait Generation Yasheng Sun Qianyi Wu Hang Zhou Kaisiyuan Wang Tianshu Hu Chen-Chieh Liao Shio Miyafuji Ziwei Liu Hideki Koike 3DH 68 3 0 14 Feb 2023
Multi-modal Machine Learning in Engineering Design: A Review and Future Directions Binyang Song Ruilin Zhou Faez Ahmed AI4CE 144 46 0 14 Feb 2023
3D-aware Blending with Generative NeRFs Hyunsung Kim Gayoung Lee Yunjey Choi Jin-Hwa Kim Jun-Yan Zhu 99 12 0 13 Feb 2023
Raising the Cost of Malicious AI-Powered Image Editing Hadi Salman Alaa Khaddaj Guillaume Leclerc Andrew Ilyas Aleksander Madry DiffM 103 118 0 13 Feb 2023
Trading Information between Latents in Hierarchical Variational Autoencoders Tim Z. Xiao Robert Bamler DRL BDL 41 6 0 09 Feb 2023
Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples Marco Jiralerspong A. Bose I. Gemp Chongli Qin Yoram Bachrach Gauthier Gidel EGVM 96 8 0 09 Feb 2023
Q-Diffusion: Quantizing Diffusion Models Xiuyu Li Yijia Liu Long Lian Hua Yang Zhen Dong Daniel Kang Shanghang Zhang Kurt Keutzer DiffM MQ 164 177 0 08 Feb 2023
EvoText: Enhancing Natural Language Generation Models via Self-Escalation Learning for Up-to-Date Knowledge and Improved Performance Zheng Yuan HU Xue Chuxu Zhang Yongming Liu VLM 66 0 0 08 Feb 2023
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design Lyle Regenwetter Akash Srivastava Dan Gutfreund Faez Ahmed 109 30 0 06 Feb 2023
KDEformer: Accelerating Transformers via Kernel Density Estimation A. Zandieh Insu Han Majid Daliri Amin Karbasi 125 47 0 05 Feb 2023
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval Kexun Zhang Xianjun Yang William Yang Wang Lei Li DiffM 118 10 0 05 Feb 2023
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation Giorgio Mariani Irene Tallini Emilian Postolache Michele Mancusi Luca Cosmo Emanuele Rodolà DiffM 147 43 0 04 Feb 2023
UW-CVGAN: UnderWater Image Enhancement with Capsules Vectors Quantization Rita Pucci C. Micheloni N. Martinel 61 0 0 02 Feb 2023
Stable Target Field for Reduced Variance Score Estimation in Diffusion Models Yilun Xu Shangyuan Tong Tommi Jaakkola DiffM 91 31 0 01 Feb 2023
Training Normalizing Flows with the Precision-Recall Divergence Alexandre Verine Benjamin Négrevergne Muni Sreenivas Pydi Y. Chevaleyre 41 1 0 01 Feb 2023
Free Lunch for Domain Adversarial Training: Environment Label Smoothing Yifan Zhang Xue Wang Jian Liang Zhang Zhang Liangsheng Wang Rong Jin Tien-Ping Tan 135 43 0 01 Feb 2023
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets Hussein Hazimeh Natalia Ponomareva GAN 54 2 0 31 Jan 2023
NoiseTransfer: Image Noise Generation with Contrastive Embeddings Seunghwan Lee Tae Hyun Kim DiffM 58 6 0 31 Jan 2023
Extracting Training Data from Diffusion Models Nicholas Carlini Jamie Hayes Milad Nasr Matthew Jagielski Vikash Sehwag Florian Tramèr Borja Balle Daphne Ippolito Eric Wallace DiffM 147 620 0 30 Jan 2023
SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer Yuhta Takida Masaaki Imaizumi Takashi Shibuya Chieh-Hsin Lai Toshimitsu Uesaka Naoki Murata Yuki Mitsufuji GAN 109 13 0 30 Jan 2023
Adversarial Networks and Machine Learning for File Classification Ken St. Germain Josh Angichiodo GAN 25 2 0 27 Jan 2023
HyperNeRFGAN: Hypernetwork approach to 3D NeRF GAN Adam Kania Artur Kasymov Maciej Ziȩba Przemysław Spurek 85 9 0 27 Jan 2023
Open Problems in Applied Deep Learning M. Raissi AI4CE 115 2 0 26 Jan 2023
On the Importance of Noise Scheduling for Diffusion Models Ting Chen DiffM 112 161 0 26 Jan 2023
Affective Faces for Goal-Driven Dyadic Communication Scott Geng Revant Teotia Purva Tendulkar Sachit Menon Carl Vondrick VGen 57 20 0 26 Jan 2023
Variation-Aware Semantic Image Synthesis Mingle Xu Jaehwan Lee Sook Yoon Hyongsuk Kim D. Park 77 4 0 25 Jan 2023
Multi-domain stain normalization for digital pathology: A cycle-consistent adversarial network for whole slide images Martin J. Hetz Tabea-Clara Bucher T. Brinker OOD MedIm 78 11 0 23 Jan 2023
ApproxED: Approximate exploitability descent via learned best responses Carlos Martin Tuomas Sandholm 88 0 0 20 Jan 2023
Neural Architecture Search: Insights from 1000 Papers Colin White Mahmoud Safari R. Sukthanker Binxin Ru T. Elsken Arber Zela Debadeepta Dey Frank Hutter 3DV AI4CE 129 142 0 20 Jan 2023
Pneumonia Detection in Chest X-Ray Images : Handling Class Imbalance Wardah Ali Eesha Qureshi Omama Ahmed Farooqi Rizwan Ahmed Khan 100 5 0 20 Jan 2023
Hybrid Open-set Segmentation with Synthetic Negative Data Matej Grcić Sinivsa vSegvić 93 6 0 19 Jan 2023
Fast Inference in Denoising Diffusion Models via MMD Finetuning Emanuele Aiello D. Valsesia E. Magli DiffM 56 5 0 19 Jan 2023
Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling C. Metta Riccardo Guidotti Yuan Yin Patrick Gallinari S. Rinzivillo MedIm 59 11 0 18 Jan 2023
Simplex Autoencoders Aymene Mohammed Bouayed D. Naccache SyDa 55 0 0 16 Jan 2023