Unrolled Generative Adversarial Networks

7 November 2016

Luke Metz

Ben Poole

David Pfau

Jascha Narain Sohl-Dickstein

GAN

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Papers citing "Unrolled Generative Adversarial Networks"

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CKGAN: Training Generative Adversarial Networks Using Characteristic Kernel Integral Probability Metrics Kuntian Zhang Simin Yu Yaoshu Wang Makoto Onizuka Chuan Xiao GAN 41 0 0 08 Apr 2025
Diffusion Models in Recommendation Systems: A Survey Ting-Ruen Wei Yi Fang 87 2 0 20 Feb 2025
Unrolled Creative Adversarial Network For Generating Novel Musical Pieces Pratik Nag MGen GAN 39 0 0 03 Jan 2025
ParaGAN: A Scalable Distributed Training Framework for Generative Adversarial Networks Ziji Shi Jialin Li Yang You 26 1 0 06 Nov 2024
Prune and Repaint: Content-Aware Image Retargeting for any Ratio Feihong Shen C. Li Yifeng Geng Yongjian Deng Hao Chen 18 1 0 30 Oct 2024
Learning test generators for cyber-physical systems J. Peltomäki Ivan Porres 24 0 0 04 Oct 2024
DreamStory: Open-Domain Story Visualization by LLM-Guided Multi-Subject Consistent Diffusion Huiguo He Huan Yang Zixi Tuo Yuan Zhou Qiuyue Wang Yuhang Zhang Zeyu Liu Wenhao Huang Hongyang Chao Jian Yin DiffM VGen 56 12 0 17 Jul 2024
Generative Modeling by Minimizing the Wasserstein-2 Loss Yu-Jui Huang Zachariah Malik 19 2 0 19 Jun 2024
Latent Denoising Diffusion GAN: Faster sampling, Higher image quality Luan Thanh Trinh T. Hamagami DiffM 35 5 0 17 Jun 2024
Reinforced Decoder: Towards Training Recurrent Neural Networks for Time Series Forecasting Qi Sima Xinze Zhang Yukun Bao Siyue Yang Liang Shen AI4TS 37 1 0 14 Jun 2024
Dataset Enhancement with Instance-Level Augmentations Orest Kupyn Christian Rupprecht 40 9 0 12 Jun 2024
Flow Map Matching Nicholas M. Boffi M. S. Albergo Eric Vanden-Eijnden 27 4 0 11 Jun 2024
GANetic Loss for Generative Adversarial Networks with a Focus on Medical Applications S. Akhmedova Nils Körber GAN MedIm 28 0 0 07 Jun 2024
Personalized Interiors at Scale: Leveraging AI for Efficient and Customizable Design Solutions Kaiwen Zhou Tianyu Wang 40 2 0 29 May 2024
Cognitive Evolutionary Learning to Select Feature Interactions for Recommender Systems Runlong Yu Qixiang Shao Qi Liu Huan Liu Enhong Chen 28 0 0 29 May 2024
Generated Contents Enrichment Mahdi Naseri Jiayan Qiu Zhou Wang 31 0 0 06 May 2024
Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity Yukui Hou Jin-Duk Park Won-Yong Shin 21 13 0 22 Apr 2024
U-Sketch: An Efficient Approach for Sketch to Image Diffusion Models Ilias Mitsouras Eleftherios Tsonis Paraskevi Tzouveli Athanasios Voulodimos DiffM 27 0 0 27 Mar 2024
High-Resolution Image Translation Model Based on Grayscale Redefinition Xixian Wu Dian Chao Yang Yang VLM 20 0 0 26 Mar 2024
Ultra-High-Resolution Image Synthesis with Pyramid Diffusion Model Jiajie Yang 32 0 0 19 Mar 2024
IDF-CR: Iterative Diffusion Process for Divide-and-Conquer Cloud Removal in Remote-sensing Images Meilin Wang Yexing Song Pengxu Wei Xiaoyu Xian Yukai Shi Liang Lin DiffM 33 11 0 18 Mar 2024
Generative AI for Unmanned Vehicle Swarms: Challenges, Applications and Opportunities Guangyuan Liu Nguyen Van Huynh Hongyang Du D. Hoang Dusit Niyato Kun Zhu Jiawen Kang Zehui Xiong Abbas Jamalipour Dong In Kim 49 13 0 28 Feb 2024
DiscDiff: Latent Diffusion Model for DNA Sequence Generation Zehui Li Yuhao Ni W. Beardall Guoxuan Xia Akashaditya Das Guy-Bart Stan Yiren Zhao 21 6 0 08 Feb 2024
Image Translation as Diffusion Visual Programmers Cheng Han James Liang Qifan Wang Majid Rabbani S. Dianat Raghuveer M. Rao Ying Nian Wu Dongfang Liu 29 8 0 18 Jan 2024
Taming Mode Collapse in Score Distillation for Text-to-3D Generation Peihao Wang Dejia Xu Zhiwen Fan Dilin Wang Sreyas Mohan ... Rakesh Ranjan Yilei Li Qiang Liu Zhangyang Wang Vikas Chandra DiffM 23 27 0 31 Dec 2023
Visualizing High-Dimensional Configuration Spaces: A Comprehensive Analytical Approach Jorge Ocampo Jimenez Wael Suleiman 12 2 0 18 Dec 2023
ClusterDDPM: An EM clustering framework with Denoising Diffusion Probabilistic Models Jie Yan Jing Liu Zhonghan Zhang DiffM 17 0 0 13 Dec 2023
Convergences for Minimax Optimization Problems over Infinite-Dimensional Spaces Towards Stability in Adversarial Training Takashi Furuya Satoshi Okuda Kazuma Suetake Yoshihide Sawada 27 0 0 02 Dec 2023
Monotone Generative Modeling via a Gromov-Monge Embedding Wonjun Lee Yifei Yang Dongmian Zou Gilad Lerman GAN 29 2 0 02 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
Latent Diffusion Model for DNA Sequence Generation Zehui Li Yuhao Ni Tim August B. Huygelen Akashaditya Das Guoxuan Xia Guy-Bart Stan Yiren Zhao 36 9 0 09 Oct 2023
Making Scalable Meta Learning Practical Sang Keun Choe Sanket Vaibhav Mehta Hwijeen Ahn W. Neiswanger Pengtao Xie Emma Strubell Eric P. Xing 47 14 0 09 Oct 2023
Stackelberg Driver Model for Continual Policy Improvement in Scenario-Based Closed-Loop Autonomous Driving Haoyi Niu Qimao Chen Yingyue Li Yi Zhang Jianming Hu 32 3 0 25 Sep 2023
Towards the generation of synchronized and believable non-verbal facial behaviors of a talking virtual agent Alice Delbosc M. Ochs Nicolas Sabouret Brian Ravenet Stéphane Ayache 34 7 0 15 Sep 2023
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation Georg Kohl Li-Wei Chen Nils Thuerey AI4CE DiffM 34 22 0 04 Sep 2023
ControlMat: A Controlled Generative Approach to Material Capture Giuseppe Vecchio Rosalie Martin Arthur Roullier Adrien Kaiser Romain Rouffet Valentin Deschaintre T. Boubekeur DiffM 26 38 0 04 Sep 2023
Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art Tanujit Chakraborty Ujjwal Reddy K S Shraddha M. Naik Madhurima Panja B. Manvitha 27 61 0 30 Aug 2023
MatFuse: Controllable Material Generation with Diffusion Models Giuseppe Vecchio Renato Sortino S. Palazzo C. Spampinato DiffM 20 28 0 22 Aug 2023
Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction Zeyu Han Yuhan Wang Luping Zhou Peng Wang Binyu Yan Jiliu Zhou Yan Wang Dinggang Shen DiffM 19 22 0 20 Aug 2023
CLE Diffusion: Controllable Light Enhancement Diffusion Model Yuyang Yin Dejia Xu Chuangchuang Tan P. Liu Yao-Min Zhao Yunchao Wei DiffM 32 40 0 13 Aug 2023
Learning with Constraint Learning: New Perspective, Solution Strategy and Various Applications Risheng Liu Jiaxin Gao Xuan Liu Xin-Yue Fan 32 9 0 28 Jul 2023
PartDiff: Image Super-resolution with Partial Diffusion Models Kai Zhao A. Hung Kai-Lin Pang Haoxin Zheng Kyunghyun Sung DiffM MedIm 17 3 0 21 Jul 2023
Adversarial Likelihood Estimation With One-Way Flows Omri Ben-Dov Pravir Singh Gupta Victoria Fernandez-Abrevaya Michael J. Black Partha Ghosh GAN DRL 29 0 0 19 Jul 2023
ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution Axi Niu T. Pham Kang Zhang Jinqiu Sun Yu Zhu Inso Kweon Yanning Zhang DiffM 22 19 0 03 Jul 2023
DoseDiff: Distance-aware Diffusion Model for Dose Prediction in Radiotherapy Yiwen Zhang Chuanpu Li Liming Zhong Ze-xiang Chen Wei Yang Xuetao Wang DiffM MedIm 13 9 0 28 Jun 2023
Learning Profitable NFT Image Diffusions via Multiple Visual-Policy Guided Reinforcement Learning Huiguo He Tianfu Wang Huan Yang Jianlong Fu N. Yuan Jian Yin Hongyang Chao Qi Zhang EGVM 30 9 0 20 Jun 2023
GBSD: Generative Bokeh with Stage Diffusion Jieren Deng Xiaoxia Zhou Hao Tian Zhihong Pan Derek Aguiar DiffM 19 1 0 14 Jun 2023
OT-Net: A Reusable Neural Optimal Transport Solver Zezeng Li Shenghao Li Lianbao Jin Na Lei Zhongxuan Luo OT 23 4 0 14 Jun 2023
Fast Diffusion Model Zike Wu Pan Zhou Kenji Kawaguchi Hanwang Zhang DiffM 21 19 0 12 Jun 2023
An Open Patch Generator based Fingerprint Presentation Attack Detection using Generative Adversarial Network Anuj Rai Ashutosh Anshul A. Jha Prayag Jain R. Sharma S. Dey 6 5 0 06 Jun 2023