Glow: Generative Flow with Invertible 1x1 Convolutions

9 July 2018

Diederik P. Kingma

Papers citing "Glow: Generative Flow with Invertible 1x1 Convolutions"

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Title
The voraus-AD Dataset for Anomaly Detection in Robot Applications Jan Thiess Brockmann Marco Rudolph Bodo Rosenhahn Bastian Wandt 34 11 0 08 Nov 2023
Energy-Calibrated VAE with Test Time Free Lunch Yihong Luo Si-Huang Qiu Xingjian Tao Yujun Cai Jing Tang 26 4 0 07 Nov 2023
MeVGAN: GAN-based Plugin Model for Video Generation with Applications in Colonoscopy Lukasz Struski Tomasz Urbañczyk Krzysztof Bucki Bartłomiej Cupiał Aneta Kaczyńska Przemysław Spurek Jacek Tabor MedIm GAN 26 1 0 07 Nov 2023
STRIDE: Structure-guided Generation for Inverse Design of Molecules Shehtab Zaman D. Akhiyarov Mauricio Araya-Polo Kenneth Chiu 34 1 0 06 Nov 2023
Detecting Generated Images by Real Images Only Xiuli Bi Bo Liu Fan Yang Bin Xiao Weisheng Li Gao Huang P. Cosman 50 9 0 02 Nov 2023
Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow Rentian Yao Linjun Huang Yun Yang 34 3 0 01 Nov 2023
Generalizing Nonlinear ICA Beyond Structural Sparsity Yujia Zheng Kun Zhang CML 31 16 0 01 Nov 2023
PET Tracer Conversion among Brain PET via Variable Augmented Invertible Network Bohui Shen Wei Zhang Xubiao Liu Pengfei Yu Shirui Jiang ... Xiangsong Zhang Xiaoyu Zhou Weirui Zhang Bingxuan Li Qiegen Liu MedIm 29 0 0 01 Nov 2023
The Missing U for Efficient Diffusion Models Sergio Calvo-Ordoñez Chun-Wun Cheng Jiahao Huang Lipei Zhang Guang Yang Carola-Bibiane Schonlieb Angelica I Aviles-Rivero DiffM 38 4 0 31 Oct 2023
Exploring Geometry of Blind Spots in Vision Models S. Balasubramanian Gaurang Sriramanan Vinu Sankar Sadasivan S. Feizi AAML 33 2 0 30 Oct 2023
Rare Event Probability Learning by Normalizing Flows Zhenggqi Gao Dinghuai Zhang Luca Daniel Duane S. Boning 23 3 0 29 Oct 2023
Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach Sangwoong Yoon Young-Uk Jin Yung-Kyun Noh Frank C. Park 34 13 0 28 Oct 2023
Boosting Data Analytics With Synthetic Volume Expansion Xiaotong Shen Yifei Liu Rex Shen 26 3 0 27 Oct 2023
Convergence of flow-based generative models via proximal gradient descent in Wasserstein space Xiuyuan Cheng Jianfeng Lu Yixin Tan Yao Xie 116 15 0 26 Oct 2023
Likelihood-based Out-of-Distribution Detection with Denoising Diffusion Probabilistic Models Joseph Goodier Neill D.F. Campbell DiffM 43 6 0 26 Oct 2023
Low-Dimensional Gradient Helps Out-of-Distribution Detection Yingwen Wu Tao Li Xinwen Cheng Jie Yang Xiaolin Huang OODD 62 3 0 26 Oct 2023
MixerFlow: MLP-Mixer meets Normalising Flows Eshant English Matthias Kirchler Christoph Lippert TPM 22 0 0 25 Oct 2023
Free-form Flows: Make Any Architecture a Normalizing Flow Felix Dräxler Peter Sorrenson Lea Zimmermann Armand Rousselot Ullrich Kothe TPM DRL AI4CE BDL 40 8 0 25 Oct 2023
Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN sampler Jiayu Qian Yuanyuan Liu Jingya Yang Qingping Zhou 23 0 0 24 Oct 2023
Improved Techniques for Training Consistency Models Yang Song Prafulla Dhariwal 37 154 0 22 Oct 2023
ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection Zhongzhan Huang Pan Zhou Shuicheng Yan Liang Lin 24 26 0 20 Oct 2023
ClusT3: Information Invariant Test-Time Training G. A. V. Hakim David Osowiechi Mehrdad Noori Milad Cheraghalikhani Ismail Ben Ayed Christian Desrosiers TTA OOD 31 10 0 18 Oct 2023
Dimma: Semi-supervised Low Light Image Enhancement with Adaptive Dimming Wojciech Kozlowski Michal Szachniewicz Michal Stypulkowski Maciej Ziȩba 28 4 0 14 Oct 2023
Physics-guided Noise Neural Proxy for Practical Low-light Raw Image Denoising Hansen Feng Lizhi Wang Yiqi Huang Yuzhi Wang Lin Zhu Huan Huang AI4CE DiffM 44 1 0 13 Oct 2023
Transformer-based Autoencoder with ID Constraint for Unsupervised Anomalous Sound Detection Jian Guan Youde Liu Qiuqiang Kong Feiyang Xiao Qiaoxi Zhu Jiantong Tian Wenwu Wang 36 7 0 13 Oct 2023
AnoDODE: Anomaly Detection with Diffusion ODE Xianyao Hu Congming Jin MedIm DiffM 21 1 0 10 Oct 2023
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling Huangjie Zheng Zhendong Wang Jianbo Yuan Guanghan Ning Pengcheng He Quanzeng You Hongxia Yang Mingyuan Zhou 40 9 0 10 Oct 2023
Perceptual Artifacts Localization for Image Synthesis Tasks Lingzhi Zhang Zhengjie Xu Connelly Barnes Yuqian Zhou Qing Liu He Zhang Sohrab Amirghodsi Zhe-nan Lin Eli Shechtman Jianbo Shi DiffM 40 21 0 09 Oct 2023
PromptSpeaker: Speaker Generation Based on Text Descriptions Yongmao Zhang Guanghou Liu Yinjiao Lei Yunlin Chen Hao Yin Lei Xie Zhifei Li 33 11 0 08 Oct 2023
Learning Many-to-Many Mapping for Unpaired Real-World Image Super-resolution and Downscaling Wanjie Sun Zhenzhong Chen SupR 33 0 0 08 Oct 2023
VoiceExtender: Short-utterance Text-independent Speaker Verification with Guided Diffusion Model Yayun He Zuheng Kang Jianzong Wang Junqing Peng Jing Xiao DiffM 27 2 0 07 Oct 2023
Improving Vision Anomaly Detection with the Guidance of Language Modality Dong Chen Kaihang Pan Guoming Wang Yueting Zhuang Siliang Tang 28 3 0 04 Oct 2023
Analyzing and Improving Optimal-Transport-based Adversarial Networks Jaemoo Choi Jaewoong Choi Myungjoo Kang OT 39 4 0 04 Oct 2023
Dual-stage Flows-based Generative Modeling for Traceable Urban Planning Xuanming Hu Wei Fan Dongjie Wang Pengyang Wang Yong Li Yanjie Fu AI4CE 50 2 0 03 Oct 2023
Synthetic CT Generation via Variant Invertible Network for All-digital Brain PET Attenuation Correction Yu Guan Bohui Shen Xinchong Shi Xiangsong Zhang Bingxuan Li Qiegen Liu MedIm 34 1 0 03 Oct 2023
AI-Generated Images as Data Source: The Dawn of Synthetic Era Zuhao Yang Fangneng Zhan Kunhao Liu Muyu Xu Shijian Lu EGVM 36 18 0 03 Oct 2023
Towards Fixing Clever-Hans Predictors with Counterfactual Knowledge Distillation Sidney Bender Christopher J. Anders Pattarawat Chormai Heike Marxfeld J. Herrmann G. Montavon CML 35 1 0 02 Oct 2023
Deterministic Langevin Unconstrained Optimization with Normalizing Flows James M. Sullivan U. Seljak 29 0 0 01 Oct 2023
A Unified View of Differentially Private Deep Generative Modeling Dingfan Chen Raouf Kerkouche Mario Fritz SyDa 35 4 0 27 Sep 2023
Human Kinematics-inspired Skeleton-based Video Anomaly Detection Jian Xiao Tianyuan Liu Genlin Ji 3DH 24 2 0 27 Sep 2023
PINF: Continuous Normalizing Flows for Physics-Constrained Deep Learning Feng Liu Faguo Wu Xiao Zhang AI4CE 34 2 0 26 Sep 2023
Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models Yangming Li B. V. Breugel M. Schaar DiffM 14 3 0 25 Sep 2023
PRIS: Practical robust invertible network for image steganography Hang Yang Yitian Xu Xuhua Liu Xiaodong Ma 26 15 0 24 Sep 2023
Flow Factorized Representation Learning Yue Song Thomas Anderson Keller N. Sebe Max Welling DRL OOD 31 3 0 22 Sep 2023
Flow Annealed Kalman Inversion for Gradient-Free Inference in Bayesian Inverse Problems R. Grumitt M. Karamanis U. Seljak 45 1 0 20 Sep 2023
Score Mismatching for Generative Modeling Senmao Ye Fei Liu DiffM 30 8 0 20 Sep 2023
Steganography for Neural Radiance Fields by Backdooring Weina Dong Jia-Wei Liu Yan Ke Lifeng Chen Wenquan Sun Xiaozhong Pan 57 5 0 19 Sep 2023
Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling Kshitij Tayal Arvind Renganathan Rahul Ghosh X. Jia Vipin Kumar SyDa AI4CE 60 5 0 19 Sep 2023
Application-driven Validation of Posteriors in Inverse Problems T. Adler Jan-Hinrich Nolke Annika Reinke M. Tizabi Sebastian Gruber ... Lynton Ardizzone Paul F. Jaeger Florian Buettner Ullrich Kothe Lena Maier-Hein MedIm 40 1 0 18 Sep 2023
Elucidating the solution space of extended reverse-time SDE for diffusion models Qinpeng Cui Xinyi Zhang Zongqing Lu Qingmin Liao DiffM 38 5 0 12 Sep 2023