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
Quantum Normalizing Flows for Anomaly Detection Bodo Rosenhahn C. Hirche 24 4 0 05 Feb 2024
Learning with Mixture of Prototypes for Out-of-Distribution Detection Haodong Lu Dong Gong Shuo Wang Jason Xue Lina Yao Kristen Moore OODD 66 22 0 05 Feb 2024
Monotone, Bi-Lipschitz, and Polyak-Lojasiewicz Networks Ruigang Wang Krishnamurthy Dvijotham I. Manchester 41 5 0 02 Feb 2024
Resolution invariant deep operator network for PDEs with complex geometries Jianguo Huang Yue Qiu 32 0 0 01 Feb 2024
Active Generation Network of Human Skeleton for Action Recognition Longzhao Liu Xin Wang Fangming Li Jiayu Chen GAN 53 1 0 30 Jan 2024
Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection Yongwei Nie Hao Huang Chengjiang Long Qing Zhang Pradipta Maji Hongmin Cai 36 1 0 24 Jan 2024
Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT N. Moriakov J. Sonke Jonas Teuwen 14 0 0 20 Jan 2024
An attempt to generate new bridge types from latent space of generative flow Hongjun Zhang DRL 20 3 0 18 Jan 2024
Continuous Piecewise-Affine Based Motion Model for Image Animation Hexiang Wang Fengqi Liu Qianyu Zhou Ran Yi Xin Tan Lizhuang Ma VGen 29 9 0 17 Jan 2024
Rethinking Test-time Likelihood: The Likelihood Path Principle and Its Application to OOD Detection Sicong Huang Jiawei He Kry Yik-Chau Lui 35 0 0 10 Jan 2024
Dr $^2$ Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning Chen Zhao Shuming Liu K. Mangalam Guocheng Qian Fatimah Zohra Abdulmohsen Alghannam Jitendra Malik Guohao Li 54 3 0 08 Jan 2024
Deep Learning-based Image and Video Inpainting: A Survey Weize Quan Jiaxi Chen Yanli Liu Dong-Ming Yan Peter Wonka 3DV 45 35 0 07 Jan 2024
Bring Metric Functions into Diffusion Models Jie An Zhengyuan Yang Jianfeng Wang Linjie Li Zicheng Liu Lijuan Wang Jiebo Luo DiffM 45 3 0 04 Jan 2024
Transformer Neural Autoregressive Flows Massimiliano Patacchiola Aliaksandra Shysheya Katja Hofmann Richard Turner TPM 14 1 0 03 Jan 2024
Discrete Distribution Networks Lei Yang 31 1 0 29 Dec 2023
AE-Flow: AutoEncoder Normalizing Flow Jakub Mosiński Piotr Bilinski Thomas Merritt Abdelhamid Ezzerg Daniel Korzekwa 34 4 0 27 Dec 2023
Robust Stochastically-Descending Unrolled Networks Samar Hadou Navid Naderializadeh Alejandro Ribeiro 59 2 0 25 Dec 2023
A Survey on Open-Set Image Recognition Qiulei Dong Qiulei Dong BDL ObjD 34 3 0 25 Dec 2023
InvertibleNetworks.jl: A Julia package for scalable normalizing flows Rafael Orozco Philipp A. Witte M. Louboutin Ali Siahkoohi G. Rizzuti Bas Peters Felix J. Herrmann 38 9 0 20 Dec 2023
Revisiting Deep Generalized Canonical Correlation Analysis Paris A. Karakasis Nicholas D. Sidiropoulos CML 31 4 0 20 Dec 2023
Diffusion Models With Learned Adaptive Noise Subham Sekhar Sahoo Aaron Gokaslan Christopher De Sa Volodymyr Kuleshov DiffM 44 9 0 20 Dec 2023
LlaMaVAE: Guiding Large Language Model Generation via Continuous Latent Sentence Spaces Yingji Zhang Danilo S. Carvalho Ian Pratt-Hartmann André Freitas VLM 32 2 0 20 Dec 2023
Relightable and Animatable Neural Avatars from Videos Wenbin Lin Chengwei Zheng Jun-hai Yong Feng Xu 36 11 0 20 Dec 2023
Unlocking Pre-trained Image Backbones for Semantic Image Synthesis Tariq Berrada Jakob Verbeek Camille Couprie Alahari Karteek 44 6 0 20 Dec 2023
On Inference Stability for Diffusion Models Viet Anh Nguyen Giang Vu Tung Nguyen Thanh Khoat Than Toan M. Tran 18 1 0 19 Dec 2023
Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models Angela Castillo Jonas Kohler Juan C. Pérez Juan Pablo Pérez Albert Pumarola Guohao Li Pablo Arbelaez Ali K. Thabet 37 12 0 19 Dec 2023
Operator-learning-inspired Modeling of Neural Ordinary Differential Equations Woojin Cho Seunghyeon Cho Hyundong Jin Jinsung Jeon Kookjin Lee Sanghyun Hong Dongeun Lee Jonghyun Choi Noseong Park AI4TS AI4CE 23 2 0 16 Dec 2023
NM-FlowGAN: Modeling sRGB Noise with a Hybrid Approach based on Normalizing Flows and Generative Adversarial Networks Young Joo Han Ha-Jin Yu 47 0 0 15 Dec 2023
SEF-VC: Speaker Embedding Free Zero-Shot Voice Conversion with Cross Attention Junjie Li Yiwei Guo Xie Chen Kai Yu 50 13 0 14 Dec 2023
TERM Model: Tensor Ring Mixture Model for Density Estimation Ruituo Wu Jiani Liu Ce Zhu Anh-Huy Phan Ivan Oseledets Yipeng Liu 33 1 0 13 Dec 2023
DTA: Distribution Transform-based Attack for Query-Limited Scenario Renyang Liu Wei Zhou Xin Jin Song Gao Yuanyu Wang Ruxin Wang 18 0 0 12 Dec 2023
GMTalker: Gaussian Mixture-based Audio-Driven Emotional Talking Video Portraits Yibo Xia Lizhen Wang Xiang Deng Xiaoyan Luo Yunhong Wang Yebin Liu VGen 52 1 0 12 Dec 2023
A Video is Worth 256 Bases: Spatial-Temporal Expectation-Maximization Inversion for Zero-Shot Video Editing Maomao Li Yu Li Tianyu Yang Yunfei Liu Dongxu Yue Zhihui Lin Dong Xu VGen 34 8 0 10 Dec 2023
Diffence: Fencing Membership Privacy With Diffusion Models Yuefeng Peng Ali Naseh Amir Houmansadr AAML 28 1 0 07 Dec 2023
Hiding Functions within Functions: Steganography by Implicit Neural Representations Jia-Wei Liu Peng Luo Yan Ke Dang Qian Zhang Minqing Mu Dejun GAN 47 4 0 07 Dec 2023
FERGI: Automatic Annotation of User Preferences for Text-to-Image Generation from Spontaneous Facial Expression Reaction Shuangquan Feng Junhua Ma Virginia R. de Sa EGVM 29 0 0 05 Dec 2023
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models Sungik Choi Hankook Lee Honglak Lee Moontae Lee DiffM 52 7 0 05 Dec 2023
Learning Energy-based Model via Dual-MCMC Teaching Jiali Cui Tian Han 24 10 0 05 Dec 2023
DREAM: Diffusion Rectification and Estimation-Adaptive Models Jinxin Zhou Tianyu Ding Tianyi Chen Jiachen Jiang Ilya Zharkov Zhihui Zhu Luming Liang 36 7 0 30 Nov 2023
Dimension Mixer: A Generalized Method for Structured Sparsity in Deep Neural Networks Suman Sapkota Binod Bhattarai 37 0 0 30 Nov 2023
Perceptual Group Tokenizer: Building Perception with Iterative Grouping Zhiwei Deng Ting Chen Yang Li ViT VLM 29 2 0 30 Nov 2023
THInImg: Cross-modal Steganography for Presenting Talking Heads in Images Lin Zhao Hongxuan Li Xuefei Ning Xinru Jiang 37 1 0 28 Nov 2023
Double-Flow-based Steganography without Embedding for Image-to-Image Hiding Bingbing Song Derui Wang Tianwei Zhang Renyang Liu Yu Lin Wei Zhou 6 0 0 25 Nov 2023
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models Fei Kong Jinhao Duan Lichao Sun Hao-Ran Cheng Renjing Xu Hengtao Shen Xiao-lan Zhu Xiaoshuang Shi Kaidi Xu 44 3 0 23 Nov 2023
PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection Nan Zhong Yiran Xu Sheng Li Zhenxing Qian Xinpeng Zhang 32 26 0 21 Nov 2023
FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation Chenliang Zhou Fangcheng Zhong Param Hanji Zhilin Guo Kyle Fogarty Alejandro Sztrajman Hongyun Gao Cengiz Öztireli 21 3 0 20 Nov 2023
On the Quantification of Image Reconstruction Uncertainty without Training Data Sirui Bi Victor Fung Jiaxin Zhang 26 1 0 16 Nov 2023
CL-Flow:Strengthening the Normalizing Flows by Contrastive Learning for Better Anomaly Detection Shunfeng Wang Yueyang Li Haichi Luo Chenyang Bi 43 1 0 12 Nov 2023
Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning Jianxiang Feng Jongseok Lee Simon Geisler Stephan Gunnemann Rudolph Triebel OODD 32 4 0 11 Nov 2023
Optimal simulation-based Bayesian decisions Justin Alsing Thomas D. P. Edwards Benjamin Dan Wandelt 36 1 0 09 Nov 2023