Energy-based Generative Adversarial Network

11 September 2016

Papers citing "Energy-based Generative Adversarial Network"

50 / 508 papers shown

Title
Image Editing with Diffusion Models: A Survey Jia Wang Jie Hu Xiaoqi Ma Hanghang Ma Xiaoming Wei Enhua Wu 68 0 0 17 Apr 2025
Unified Kernel-Segregated Transpose Convolution Operation Vijay Srinivas Tida Md. Imran Hossen Liqun Shan Sai Venkatesh Chilukoti Sonya Hsu X. Hei 33 0 0 27 Feb 2025
Test-time Conditional Text-to-Image Synthesis Using Diffusion Models Tripti Shukla Srikrishna Karanam Balaji Vasan Srinivasan DiffM 31 0 0 16 Nov 2024
Learning Algorithms Made Simple Noorbakhsh Amiri Golilarz Elias Hossain Abdoljalil Addeh Keyan Alexander Rahimi AAML 49 0 0 11 Oct 2024
EQ-CBM: A Probabilistic Concept Bottleneck with Energy-based Models and Quantized Vectors Sangwon Kim Dasom Ahn B. Ko In-su Jang Kwang-Ju Kim 30 4 0 22 Sep 2024
VidModEx: Interpretable and Efficient Black Box Model Extraction for High-Dimensional Spaces Somnath Sendhil Kumar Yuvaraj Govindarajulu Pavan Kulkarni Manojkumar Somabhai Parmar FAtt 43 0 0 04 Aug 2024
McGAN: Generating Manufacturable Designs by Embedding Manufacturing Rules into Conditional Generative Adversarial Network Zhichao Wang Xiaoliang Yan S. Melkote David Rosen AI4CE 11 1 0 24 Jul 2024
Diffusion Policies creating a Trust Region for Offline Reinforcement Learning Tianyu Chen Zhendong Wang Mingyuan Zhou OffRL 26 4 0 30 May 2024
MCGAN: Enhancing GAN Training with Regression-Based Generator Loss Baoren Xiao Hao Ni Weixin Yang GAN 44 0 0 27 May 2024
ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance Jiannan Huang Jun Hao Liew Hanshu Yan Yuyang Yin Yao Zhao Yunchao Wei Yunchao Wei DiffM 90 6 0 27 May 2024
Customize Your Own Paired Data via Few-shot Way Jinshu Chen Bingchuan Li Miao Hua Panpan Xu Qian He DiffM 39 0 0 21 May 2024
Adversarial Botometer: Adversarial Analysis for Social Bot Detection S. Najari Davood Rafiee Mostafa Salehi R. Farahbakhsh AAML DeLMO 33 1 0 03 May 2024
Controllable Text Generation in the Instruction-Tuning Era D. Ashok Barnabás Póczos 37 6 0 02 May 2024
Security Analysis of WiFi-based Sensing Systems: Threats from Perturbation Attacks Hangcheng Cao Wenbin Huang Guowen Xu Xianhao Chen Ziyang He Jingyang Hu Hongbo Jiang Yuguang Fang AAML 24 7 0 24 Apr 2024
On the Temperature of Machine Learning Systems Dong Zhang AI4CE 18 0 0 19 Apr 2024
Separated Attention: An Improved Cycle GAN Based Under Water Image Enhancement Method Tashmoy Ghosh GAN 16 0 0 11 Apr 2024
CHAIN: Enhancing Generalization in Data-Efficient GANs via lipsCHitz continuity constrAIned Normalization Yao Ni Piotr Koniusz AI4CE GAN 32 1 0 31 Mar 2024
Improving Adversarial Energy-Based Model via Diffusion Process Cong Geng Tian Han Peng-Tao Jiang Hao Zhang Jinwei Chen Søren Hauberg Bo-wen Li DiffM 27 2 0 04 Mar 2024
Towards Generalizable Tumor Synthesis Qi Chen Xiaoxi Chen Haorui Song Zhiwei Xiong Alan L. Yuille Chen Wei Zongwei Zhou MedIm 50 40 0 29 Feb 2024
Diffusion Model-Based Image Editing: A Survey Yi Huang Jiancheng Huang Yifan Liu Mingfu Yan Jiaxi Lv Jianzhuang Liu Wei Xiong He Zhang Liangliang Cao Liangliang Cao EGVM 66 85 0 27 Feb 2024
Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization Yinbin Han Meisam Razaviyayn Renyuan Xu DiffM 48 12 0 28 Jan 2024
Robust Imitation Learning for Automated Game Testing P. Amadori Timothy Bradley Ryan Spick Guy Moss 23 1 0 09 Jan 2024
Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models Kay Liu Hengrui Zhang Ziqing Hu Fangxin Wang Philip S. Yu 26 1 0 29 Dec 2023
Maximizing Discrimination Capability of Knowledge Distillation with Energy Function Seonghak Kim Gyeongdo Ham Suin Lee Donggon Jang Daeshik Kim 28 2 0 24 Nov 2023
A Chronological Survey of Theoretical Advancements in Generative Adversarial Networks for Computer Vision Hrishikesh Sharma AI4CE EGVM 13 1 0 02 Nov 2023
Subsurface Characterization using Ensemble-based Approaches with Deep Generative Models Jichao Bao H. Yoon Jonghyun Lee 12 0 0 02 Oct 2023
Diffusion Models for Image Restoration and Enhancement -- A Comprehensive Survey Xin Li Yulin Ren Xin Jin Cuiling Lan X. Wang Wenjun Zeng Xinchao Wang Zhibo Chen 41 46 0 18 Aug 2023
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals Tingting Dan Jiaqi Ding Ziquan Wei S. Kovalsky Minjeong Kim Won Hwa Kim Guorong Wu DiffM 24 6 0 01 Jul 2023
Targeted collapse regularized autoencoder for anomaly detection: black hole at the center A. Ghafourian Huanyi Shui Devesh Upadhyay Rajesh K. Gupta Dimitar Filev I. S. Bozchalooi AAML 28 1 0 22 Jun 2023
Stabilizing GANs' Training with Brownian Motion Controller Tianjiao Luo Ziyu Zhu Jianfei Chen Jun Zhu 19 4 0 18 Jun 2023
Dynamically Masked Discriminator for Generative Adversarial Networks Wentian Zhang Haozhe Liu Bing Li Jinheng Xie Yawen Huang Yuexiang Li Yefeng Zheng Bernard Ghanem TTA 35 2 0 13 Jun 2023
Sparse-Inductive Generative Adversarial Hashing for Nearest Neighbor Search Hong Liu GAN 17 0 0 12 Jun 2023
Introduction to Latent Variable Energy-Based Models: A Path Towards Autonomous Machine Intelligence Anna Dawid Yann LeCun DRL 24 29 0 05 Jun 2023
On Feature Diversity in Energy-based Models Firas Laakom Jenni Raitoharju Alexandros Iosifidis M. Gabbouj 24 7 0 02 Jun 2023
Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyond Chuan Chen Zhenpeng Wu Yan-Hao Lai Wen-chao Ou Tianchi Liao Zibin Zheng 22 32 0 01 Jun 2023
Single-Model Attribution of Generative Models Through Final-Layer Inversion M. Laszkiewicz Jonas Ricker Johannes Lederer Asja Fischer 26 4 0 26 May 2023
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation Xinting Liao Weiming Liu Xiaolin Zheng Binhui Yao Chaochao Chen 33 13 0 11 May 2023
Binary Latent Diffusion Ze Wang Jiang Wang Zicheng Liu Qiang Qiu 21 13 0 10 Apr 2023
3D GANs and Latent Space: A comprehensive survey S. Tata Subhankar Mishra 24 0 0 08 Apr 2023
Spritz-PS: Validation of Synthetic Face Images Using a Large Dataset of Printed Documents Ehsan Nowroozi Yoosef Habibi Mauro Conti CVBM 23 3 0 06 Apr 2023
EGC: Image Generation and Classification via a Diffusion Energy-Based Model Qiushan Guo Chuofan Ma Yi-Xin Jiang Zehuan Yuan Yizhou Yu Ping Luo DiffM 17 6 0 04 Apr 2023
How to Construct Energy for Images? Denoising Autoencoder Can Be Energy Based Model W. Zeng DiffM 31 1 0 05 Mar 2023
Improving GAN Training via Feature Space Shrinkage Haozhe Liu Wentian Zhang Bing Li Haoqian Wu Nanjun He Yawen Huang Yuexiang Li Bernard Ghanem Yefeng Zheng GAN 13 6 0 02 Mar 2023
Energy-Inspired Self-Supervised Pretraining for Vision Models Ze Wang Jiang Wang Zicheng Liu Qiang Qiu 21 8 0 02 Feb 2023
Hierarchical Perception Adversarial Learning Framework for Compressed Sensing MRI Zhifan Gao Yifeng Guo Jiajing Zhang T. Zeng Guang Yang MedIm 13 19 0 27 Jan 2023
WLD-Reg: A Data-dependent Within-layer Diversity Regularizer Firas Laakom Jenni Raitoharju Alexandros Iosifidis M. Gabbouj AI4CE 26 7 0 03 Jan 2023
Exploiting the Generative Adversarial Network Approach to Create a Synthetic Topography Corneal Image S. Jameel S. Aydin N. Ghaeb Jafar Majidpour Tarik A. Rashid Sinan Q. Salih P. S. JosephNg GAN MedIm 14 16 0 25 Dec 2022
A Mathematical Framework for Learning Probability Distributions Hongkang Yang 16 7 0 22 Dec 2022
AccEar: Accelerometer Acoustic Eavesdropping with Unconstrained Vocabulary Pengfei Hu Zhuang Hui P. Santhalingam Riccardo Spolaor Parth H. Pathak Guoming Zhang Xiuzhen Cheng AAML 13 38 0 02 Dec 2022
End-to-End Stochastic Optimization with Energy-Based Model Lingkai Kong Jiaming Cui Yuchen Zhuang Rui Feng B. Prakash Chao Zhang 13 16 0 25 Nov 2022