Mode Regularized Generative Adversarial Networks

7 December 2016

Papers citing "Mode Regularized Generative Adversarial Networks"

50 / 281 papers shown

Title
Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction Vaishnavh Nagarajan Chen Henry Wu Charles Ding Aditi Raghunathan 31 0 0 21 Apr 2025
In the Blink of an Eye: Instant Game Map Editing using a Generative-AI Smart Brush Vitaly Gnatyuk Valeriia Koriukina Ilya Levoshevich Pavel Nurminskiy Guenter Wallner 42 0 0 25 Mar 2025
Learning Object Placement Programs for Indoor Scene Synthesis with Iterative Self Training Adrian Chang Kai Wang Yuanbo Li Manolis Savva Angel X. Chang Daniel E. Ritchie 45 0 0 06 Mar 2025
Nested Annealed Training Scheme for Generative Adversarial Networks Chang Wan Ming-Hsuan Yang Minglu Li Yunliang Jiang Zhonglong Zheng GAN 33 0 0 20 Jan 2025
Autoregressive Models in Vision: A Survey Jing Xiong Gongye Liu Lun Huang Chengyue Wu Taiqiang Wu ... M. Zhang Guillermo Sapiro Jiebo Luo Ping Luo Ngai Wong VGen 46 9 0 08 Nov 2024
AdaDiffSR: Adaptive Region-aware Dynamic Acceleration Diffusion Model for Real-World Image Super-Resolution Yuanting Fan Chengxu Liu Nengzhong Yin Changlong Gao Xueming Qian 26 3 0 23 Oct 2024
Creating a Microstructure Latent Space with Rich Material Information for Multiphase Alloy Design Xudong Ma Yuqi Zhang Chenchong Wang Ming Wang Mingxin Huang Wei Xu 11 0 0 04 Sep 2024
Predicting vs. Acting: A Trade-off Between World Modeling & Agent Modeling Margaret Li Weijia Shi Artidoro Pagnoni Peter West Ari Holtzman 35 6 0 02 Jul 2024
GANetic Loss for Generative Adversarial Networks with a Focus on Medical Applications S. Akhmedova Nils Körber GAN MedIm 23 0 0 07 Jun 2024
LatentColorization: Latent Diffusion-Based Speaker Video Colorization Rory Ward Dan Bigioi Shubhajit Basak John G. Breslin Peter Corcoran VGen DiffM 27 2 0 09 May 2024
Creating synthetic energy meter data using conditional diffusion and building metadata Chun Fu Hussain Kazmi Matias Quintana Clayton Miller DiffM 25 9 0 31 Mar 2024
The Bid Picture: Auction-Inspired Multi-player Generative Adversarial Networks Training JooYong Shim Jean Seong Bjorn Choe Jong-Kook Kim GAN 31 0 0 20 Mar 2024
Geometry-Informed Neural Networks Arturs Berzins Andreas Radler Sebastian Sanokowski Sepp Hochreiter Johannes Brandstetter GAN AI4CE 28 1 0 21 Feb 2024
AdvNF: Reducing Mode Collapse in Conditional Normalising Flows using Adversarial Learning V. Kanaujia Mathias S. Scheurer Vipul Arora GAN DRL 14 2 0 29 Jan 2024
Towards Improved Proxy-based Deep Metric Learning via Data-Augmented Domain Adaptation Li Ren Chen Chen Liqiang Wang Kien Hua 31 7 0 01 Jan 2024
Geometry-Aware Normalizing Wasserstein Flows for Optimal Causal Inference Kaiwen Hou 32 0 0 30 Nov 2023
Dendrogram distance: an evaluation metric for generative networks using hierarchical clustering Gustavo Sutter Carvalho M. Ponti 11 0 0 28 Nov 2023
Unsupervised approaches based on optimal transport and convex analysis for inverse problems in imaging M. Carioni Subhadip Mukherjee Hongwei Tan Junqi Tang MedIm 29 3 0 15 Nov 2023
Flooding Regularization for Stable Training of Generative Adversarial Networks Iu Yahiro Takashi Ishida Naoto Yokoya GAN AI4CE 18 0 0 01 Nov 2023
Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization Liang Zhang Junchi Yang Amin Karbasi Niao He 24 2 0 26 Oct 2023
A Systematic Study on Quantifying Bias in GAN-Augmented Data Denis Liu 14 0 0 23 Aug 2023
Adversarial Likelihood Estimation With One-Way Flows Omri Ben-Dov Pravir Singh Gupta Victoria Fernandez-Abrevaya Michael J. Black Partha Ghosh GAN DRL 16 0 0 19 Jul 2023
K-Space-Aware Cross-Modality Score for Synthesized Neuroimage Quality Assessment Guoyang Xie Jinbao Wang Yawen Huang Jiayi Lyu Feng Zheng Yefeng Zheng Yaochu Jin 17 0 0 10 Jul 2023
Art and the science of generative AI: A deeper dive Ziv Epstein Aaron Hertzmann L. Herman Robert Mahari M. Frank ... Jessica Fjeld Hany Farid Neil Leach Alex Pentland Olga Russakovsky 23 290 0 07 Jun 2023
Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows Alexandre Verine Benjamin Négrevergne Muni Sreenivas Pydi Y. Chevaleyre 21 10 0 30 May 2023
The Representation Jensen-Shannon Divergence J. Hoyos-Osorio Santiago Posso-Murillo L. S. Giraldo 37 6 0 25 May 2023
Covariate balancing using the integral probability metric for causal inference Insung Kong Yuha Park Joonhyuk Jung Kwonsang Lee Yongdai Kim 52 8 0 23 May 2023
EHRDiff: Exploring Realistic EHR Synthesis with Diffusion Models Hongyi Yuan Songchi Zhou Sheng Yu DiffM MedIm 19 16 0 10 Mar 2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT Yihan Cao Siyu Li Yixin Liu Zhiling Yan Yutong Dai Philip S. Yu Lichao Sun 24 501 0 07 Mar 2023
A Semi-Bayesian Nonparametric Estimator of the Maximum Mean Discrepancy Measure: Applications in Goodness-of-Fit Testing and Generative Adversarial Networks Forough Fazeli Asl M. Zhang Lizhen Lin 24 1 0 05 Mar 2023
Diffusion Model-Augmented Behavioral Cloning Shangcheng Chen Hsiang-Chun Wang Ming-Hao Hsu Chun-Mao Lai Shao-Hua Sun DiffM 47 31 0 26 Feb 2023
Aligning Language Models with Preferences through f-divergence Minimization Dongyoung Go Tomasz Korbak Germán Kruszewski Jos Rozen Nahyeon Ryu Marc Dymetman 19 68 0 16 Feb 2023
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets Hussein Hazimeh Natalia Ponomareva GAN 9 2 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 63 569 0 30 Jan 2023
Asymptotic Convergence and Performance of Multi-Agent Q-Learning Dynamics A. Hussain Francesco Belardinelli Georgios Piliouras 14 14 0 23 Jan 2023
A Mathematical Framework for Learning Probability Distributions Hongkang Yang 16 7 0 22 Dec 2022
Effective Dynamics of Generative Adversarial Networks S. Durr Youssef Mroueh Yuhai Tu Shenshen Wang GAN 17 3 0 08 Dec 2022
Distribution Fitting for Combating Mode Collapse in Generative Adversarial Networks Yanxiang Gong Zhiwei Xie Guozhen Duan Z. Ma M. Xie GAN OffRL 19 3 0 03 Dec 2022
Shared Loss between Generators of GANs Xin Eric Wang GAN 16 0 0 14 Nov 2022
Sample-efficient Quantum Born Machine through Coding Rate Reduction Pengyuan Zhai 21 0 0 14 Nov 2022
Autoregressive GAN for Semantic Unconditional Head Motion Generation Louis Airale Xavier Alameda-Pineda Stéphane Lathuilière Dominique Vaufreydaz 17 3 0 02 Nov 2022
Neural Conservation Laws: A Divergence-Free Perspective Jack Richter-Powell Y. Lipman Ricky T. Q. Chen 41 50 0 04 Oct 2022
A Realism Metric for Generated LiDAR Point Clouds Larissa T. Triess Christoph B. Rist David Peter J. Marius Zöllner 3DPC 8 8 0 31 Aug 2022
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 30 262 0 19 Aug 2022
Interaction Mix and Match: Synthesizing Close Interaction using Conditional Hierarchical GAN with Multi-Hot Class Embedding Aman Goel Qianhui Men Edmond S. L. Ho 19 7 0 23 Jul 2022
Learning from few examples: Classifying sex from retinal images via deep learning Aaron Berk Gulcenur Ozturan Parsa Delavari D. Maberley Özgür Yilmaz Ipek Oruc 13 3 0 20 Jul 2022
RSD-GAN: Regularized Sobolev Defense GAN Against Speech-to-Text Adversarial Attacks Mohammad Esmaeilpour Nourhene Chaalia P. Cardinal AAML 6 1 0 14 Jul 2022
LED: Latent Variable-based Estimation of Density Omri Ben-Dov Pravir Singh Gupta Victoria Fernandez-Abrevaya Michael J. Black Partha Ghosh GAN DRL 11 0 0 23 Jun 2022
Modeling Image Composition for Complex Scene Generation Zuopeng Yang Daqing Liu Chaoyue Wang J. Yang Dacheng Tao ViT 27 49 0 02 Jun 2022
Revisiting GANs by Best-Response Constraint: Perspective, Methodology, and Application Risheng Liu Jiaxin Gao Xuan Liu Xin-Yue Fan 24 4 0 20 May 2022