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
Circuit Complexity Bounds for Visual Autoregressive Model Yekun Ke Xiaoyu Li Yingyu Liang Zhenmei Shi Zhao Song 45 5 0 08 Jan 2025
Generative Modelling with High-Order Langevin Dynamics Ziqiang Shi Rujie Liu DiffM 62 2 0 03 Jan 2025
StyleAutoEncoder for manipulating image attributes using pre-trained StyleGAN Andrzej Bedychaj Jacek Tabor Marek Śmieja GAN 52 0 0 31 Dec 2024
Modality-missing RGBT Tracking: Invertible Prompt Learning and High-quality Benchmarks Andong Lu Jiacong Zhao Chenglong Li Jin Tang Bin Luo VLM 63 5 0 31 Dec 2024
Constructing Fair Latent Space for Intersection of Fairness and Explainability Hyungjun Joo Hyeonggeun Han Sehwan Kim Sangwoo Hong Jungwoo Lee 47 0 0 23 Dec 2024
Jet: A Modern Transformer-Based Normalizing Flow Alexander Kolesnikov André Susano Pinto Michael Tschannen 79 2 0 19 Dec 2024
SHMT: Self-supervised Hierarchical Makeup Transfer via Latent Diffusion Models Zhaoyang Sun Shengwu Xiong Yaxiong Chen Fei Du Weihua Chen Fan Wang Yi Rong DiffM 74 1 0 15 Dec 2024
Non-Normal Diffusion Models Henry Li VLM DiffM 116 1 0 10 Dec 2024
Making the Flow Glow -- Robot Perception under Severe Lighting Conditions using Normalizing Flow Gradients Simon Kristoffersson Lind Rudolph Triebel V. Krüger 79 0 0 10 Dec 2024
FlowCLAS: Enhancing Normalizing Flow Via Contrastive Learning For Anomaly Segmentation Chang Won Lee Selina Leveugle Svetlana Stolpner Chris Langley Paul Grouchy Jonathan Kelly Steven Waslander 80 0 0 29 Nov 2024
3D-WAG: Hierarchical Wavelet-Guided Autoregressive Generation for High-Fidelity 3D Shapes Tejaswini Medi Arianna Rampini Pradyumna Reddy P. Jayaraman M. Keuper DiffM 84 0 0 28 Nov 2024
HUPE: Heuristic Underwater Perceptual Enhancement with Semantic Collaborative Learning Zengxi Zhang Zhiying Jiang Long Ma Jinyuan Liu Xin-Yue Fan Risheng Liu 79 2 0 27 Nov 2024
DECODE: Domain-aware Continual Domain Expansion for Motion Prediction Boqi Li Haojie Zhu Henry X. Liu 92 0 0 26 Nov 2024
Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery Tom Wehrbein Marco Rudolph Bodo Rosenhahn Bastian Wandt 3DH 74 2 0 25 Nov 2024
Expert-elicitation method for non-parametric joint priors using normalizing flows F. Bockting Stefan T. Radev Paul-Christian Bürkner BDL 100 1 0 24 Nov 2024
PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification Sara Pohland Claire Tomlin UQCV 76 1 0 22 Nov 2024
ML $^2$ Tuner: Efficient Code Tuning via Multi-Level Machine Learning Models JooHyoung Cha Munyoung Lee Jinse Kwon Jubin Lee Jemin Lee Yongin Kwon 48 0 0 16 Nov 2024
Physics Informed Distillation for Diffusion Models Joshua Tian Jin Tee Kang Zhang Hee Suk Yoon Dhananjaya N. Gowda Chanwoo Kim Chang D. Yoo DiffM 70 3 0 13 Nov 2024
Artificial Intelligence for Biomedical Video Generation Linyuan Li Jianing Qiu Anujit Saha Lin Li Poyuan Li Mengxian He Ziyu Guo Wu Yuan VGen 65 1 0 12 Nov 2024
LoFi: Neural Local Fields for Scalable Image Reconstruction AmirEhsan Khorashadizadeh T. Liaudat Tianlin Liu Jason D. McEwen Ivan Dokmanić SupR 46 1 0 07 Nov 2024
Constant Acceleration Flow Dogyun Park Sojin Lee S. Kim Taehoon Lee Youngjoon Hong Hyunwoo J. Kim 65 2 0 01 Nov 2024
DiffBatt: A Diffusion Model for Battery Degradation Prediction and Synthesis Hamidreza Eivazi André Hebenbrock Raphael Ginster Steffen Blömeke Stefan H. A. Wittek Christoph Herrmann Thomas S. Spengler Thomas Turek Andreas Rausch 36 0 0 31 Oct 2024
How Do Flow Matching Models Memorize and Generalize in Sample Data Subspaces? Weiguo Gao Ming Li OOD 50 2 0 31 Oct 2024
Dynamic PET Image Prediction Using a Network Combining Reversible and Irreversible Modules Jie Sun Qian Xia Chuanfu Sun Yumei Chen Huafeng Liu Wentao Zhu Qiegen Liu MedIm 22 0 0 30 Oct 2024
Consistency Diffusion Bridge Models Guande He Kaiwen Zheng Jianfei Chen Fan Bao Jun-Jie Zhu DiffM 72 3 0 30 Oct 2024
Flow Matching for Posterior Inference with Simulator Feedback Benjamin Holzschuh Nils Thuerey 40 0 0 29 Oct 2024
ResAD: A Simple Framework for Class Generalizable Anomaly Detection Xincheng Yao Z. Chen Chao Gao Guangtao Zhai Chongyang Zhang 34 0 0 26 Oct 2024
Flow Generator Matching Zemin Huang Zhengyang Geng Weijian Luo Guo-jun Qi 49 9 0 25 Oct 2024
Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion Emiel Hoogeboom Thomas Mensink Jonathan Heek Kay Lamerigts Ruiqi Gao Tim Salimans 194 6 0 25 Oct 2024
Analyzing Generative Models by Manifold Entropic Metrics Daniel Galperin Ullrich Köthe DRL 30 0 0 25 Oct 2024
Diff-Instruct++: Training One-step Text-to-image Generator Model to Align with Human Preferences Weijian Luo EGVM 40 6 0 24 Oct 2024
Unsupervised Low-dose CT Reconstruction with One-way Conditional Normalizing Flows Ran An Ke Chen Hongwei Li OOD 31 0 0 23 Oct 2024
One-Step Diffusion Distillation through Score Implicit Matching Weijian Luo Zemin Huang Zhengyang Geng J. Zico Kolter Guo-jun Qi DiffM 39 15 0 22 Oct 2024
Incorporating Group Prior into Variational Inference for Tail-User Behavior Modeling in CTR Prediction Han Xu Taoxing Pan Zhiqiang Liu Xiaoxiao Xu Lantao Hu 26 0 0 19 Oct 2024
G-NeuroDAVIS: A Neural Network model for generalized embedding, data visualization and sample generation Chayan Maitra R. K. De BDL 21 0 0 18 Oct 2024
Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing Flows Sandeep Nagar Girish Varma TPM 29 0 0 18 Oct 2024
Training Neural Samplers with Reverse Diffusive KL Divergence Jiajun He Wenlin Chen Mingtian Zhang David Barber José Miguel Hernández-Lobato DiffM 47 4 0 16 Oct 2024
INR-Based Generative Steganography by Point Cloud Representation Zhong Yangjie Liu Jia Liu Meiqi Ke Yan Zhang Minqing DiffM 3DPC 25 0 0 15 Oct 2024
DFM: Interpolant-free Dual Flow Matching Denis A. Gudovskiy Tomoyuki Okuno Yohei Nakata AI4CE 49 0 0 11 Oct 2024
Score Neural Operator: A Generative Model for Learning and Generalizing Across Multiple Probability Distributions Xinyu Liao Aoyang Qin Jacob H. Seidman Junqi Wang Wei Wang P. Perdikaris DiffM 28 0 0 11 Oct 2024
Scaling Laws For Diffusion Transformers Zhengyang Liang Hao He Ceyuan Yang Bo Dai 35 9 0 10 Oct 2024
Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques Benyuan Meng Qianqian Xu Zitai Wang Zhiyong Yang Xiaochun Cao Qingming Huang 23 0 0 09 Oct 2024
HyperDet: Generalizable Detection of Synthesized Images by Generating and Merging A Mixture of Hyper LoRAs Huangsen Cao Yongwei Wang Yinfeng Liu Sixian Zheng Kangtao Lv Zhimeng Zhang Bo Zhang Xin Ding Fei Wu 31 1 0 08 Oct 2024
Distribution Guided Active Feature Acquisition Yang Li Junier Oliva 29 0 0 04 Oct 2024
Stochastic Sampling from Deterministic Flow Models Saurabh Singh Ian S. Fischer 41 2 0 03 Oct 2024
Forte : Finding Outliers with Representation Typicality Estimation Debargha Ganguly Warren Morningstar A. Yu Vipin Chaudhary OODD 47 0 0 02 Oct 2024
An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring A. Gahlot Rafael Orozco Ziyi Yin Felix J. Herrmann 31 4 0 02 Oct 2024
Leveraging generative models to characterize the failure conditions of image classifiers Adrien Le Coz Stéphane Herbin Faouzi Adjed GAN 29 1 0 01 Oct 2024
IDEAW: Robust Neural Audio Watermarking with Invertible Dual-Embedding Pengcheng Li Xulong Zhang Jing Xiao Jianzong Wang 32 4 0 29 Sep 2024
DualDn: Dual-domain Denoising via Differentiable ISP Ruikang Li Yujin Wang Shiqi Chen Fan Zhang Liang Feng Tianfan Xue 38 2 0 27 Sep 2024