Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design

1 February 2019

Pieter Abbeel

Papers citing "Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design"

50 / 109 papers shown

Title
Accelerate TarFlow Sampling with GS-Jacobi Iteration Ben Liu Zhen Qin 12 0 0 19 May 2025
Flow Models for Unbounded and Geometry-Aware Distributional Reinforcement Learning Simo Alami C. Rim Kaddah Jesse Read Marie-Paule Cani 51 0 0 07 May 2025
Latent Bayesian Optimization via Autoregressive Normalizing Flows Seunghun Lee Jinyoung Park Jaewon Chu Minseo Yoon H. Kim BDL 38 1 0 21 Apr 2025
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps Henry Li Ronen Basri Y. Kluger DiffM 59 2 0 13 Jan 2025
StyleAutoEncoder for manipulating image attributes using pre-trained StyleGAN Andrzej Bedychaj Jacek Tabor Marek Śmieja GAN 47 0 0 31 Dec 2024
Safety Without Semantic Disruptions: Editing-free Safe Image Generation via Context-preserving Dual Latent Reconstruction J. Vice Naveed Akhtar Richard I. Hartley Ajmal Mian Ajmal Mian DiffM 89 0 0 21 Nov 2024
Generative Topological Networks Alona Levy-Jurgenson Z. Yakhini 46 0 0 21 Jun 2024
Generative Assignment Flows for Representing and Learning Joint Distributions of Discrete Data Bastian Boll Daniel Gonzalez-Alvarado Stefania Petra Christoph Schnörr 44 4 0 06 Jun 2024
Invertible Diffusion Models for Compressed Sensing Bin Chen Zhenyu Zhang Weiqi Li Chen Zhao Jiwen Yu Shijie Zhao Jie Chen Jian Zhang DiffM 57 5 0 25 Mar 2024
Monotone, Bi-Lipschitz, and Polyak-Lojasiewicz Networks Ruigang Wang Krishnamurthy Dvijotham I. Manchester 36 5 0 02 Feb 2024
Creating New Voices using Normalizing Flows Piotr Bilinski Thomas Merritt Abdelhamid Ezzerg Kamil Pokora Sebastian Cygert K. Yanagisawa Roberto Barra-Chicote Daniel Korzekwa 26 17 0 22 Dec 2023
DPP-TTS: Diversifying prosodic features of speech via determinantal point processes Seongho Joo Hyukhun Koh Kyomin Jung DiffM 47 0 0 23 Oct 2023
Attentive VQ-VAE A. Hoyos Mariano Rivera 26 0 0 20 Sep 2023
Diffusion Models with Deterministic Normalizing Flow Priors Mohsen Zand Ali Etemad Michael A. Greenspan DiffM 34 2 0 03 Sep 2023
PaReprop: Fast Parallelized Reversible Backpropagation Tyler Lixuan Zhu K. Mangalam 17 1 0 15 Jun 2023
Semi-Equivariant Conditional Normalizing Flows Eyal Rozenberg Daniel Freedman 27 0 0 13 Apr 2023
Reflected Diffusion Models Aaron Lou Stefano Ermon 24 50 0 10 Apr 2023
Neural Diffeomorphic Non-uniform B-spline Flows S. Hong S. Chun 37 1 0 07 Apr 2023
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows Tri Dung Duong Qian Li Guandong Xu OOD 40 7 0 26 Mar 2023
Self-Supervised Reversed Image Signal Processing via Reference-Guided Dynamic Parameter Selection Junji Otsuka Masakazu Yoshimura Takeshi Ohashi 18 5 0 24 Mar 2023
Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling Jinhai Yang Mengxi Guo Shijie Zhao Junlin Li Li Zhang 26 4 0 04 Mar 2023
Weakly Supervised Label Learning Flows You Lu Chidubem Arachie Bert Huang 26 0 0 19 Feb 2023
$FInC Flow: Fast and Invertible $k \times k$ Convolutions for Normalizing Flows$ FInC Flow: Fast and Invertible $k \times k$ Convolutions for Normalizing Flows Aditya Kallappa Sandeep Nagar Girish Varma 27 2 0 23 Jan 2023
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs Fabian Falck Christopher Williams D. Danks George Deligiannidis C. Yau Chris Holmes Arnaud Doucet M. Willetts 36 8 0 19 Jan 2023
On the Robustness of Normalizing Flows for Inverse Problems in Imaging Seongmin Hong I. Park S. Chun 33 7 0 08 Dec 2022
Waveflow: Enforcing boundary conditions in smooth normalizing flows with application to fermionic wave functions Luca Thiede Chong Sun A. Aspuru‐Guzik 34 1 0 27 Nov 2022
Re^2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization Chen Zhao Shuming Liu K. Mangalam Guohao Li 38 17 0 25 Nov 2022
Normalizing Flow with Variational Latent Representation Hanze Dong Shizhe Diao Weizhong Zhang Tong Zhang BDL OOD DRL 13 0 0 21 Nov 2022
Semi-Equivariant Continuous Normalizing Flows for Target-Aware Molecule Generation Eyal Rozenberg Daniel Freedman 29 0 0 09 Nov 2022
Whitening Convergence Rate of Coupling-based Normalizing Flows Felix Dräxler Christoph Schnörr Ullrich Kothe 36 7 0 25 Oct 2022
Graphically Structured Diffusion Models Christian D. Weilbach William Harvey Frank Wood DiffM 35 7 0 20 Oct 2022
Neural Volumetric Mesh Generator Yang Zheng Lemeng Wu Xingchao Liu Zhe Chen Qiang Liu Qi-Xing Huang DiffM 8 9 0 06 Oct 2022
Connecting Surrogate Safety Measures to Crash Probablity via Causal Probabilistic Time Series Prediction Jiajian Lu Offer Grembek M. Hansen AI4TS 21 0 0 04 Oct 2022
Let us Build Bridges: Understanding and Extending Diffusion Generative Models Xingchao Liu Lemeng Wu Mao Ye Qiang Liu DiffM 34 79 0 31 Aug 2022
Maximum Likelihood on the Joint (Data, Condition) Distribution for Solving Ill-Posed Problems with Conditional Flow Models John Shelton Hyatt 12 1 0 24 Aug 2022
AdaCat: Adaptive Categorical Discretization for Autoregressive Models Qiyang Li Ajay Jain Pieter Abbeel OffRL 45 4 0 03 Aug 2022
Multi-Objective Coordination Graphs for the Expected Scalarised Returns with Generative Flow Models Conor F. Hayes T. Verstraeten D. Roijers Enda Howley Patrick Mannion 24 3 0 01 Jul 2022
Fast Lossless Neural Compression with Integer-Only Discrete Flows Siyu Wang Jianfei Chen Chongxuan Li Jun Zhu Bo Zhang MQ 26 7 0 17 Jun 2022
AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows Difeng Cai Yuliang Ji Huan He Qiang Ye Yuanzhe Xi TPM 30 4 0 05 Jun 2022
Modeling sRGB Camera Noise with Normalizing Flows Shayan Kousha Ali Maleky M. S. Brown Marcus A. Brubaker 26 27 0 02 Jun 2022
DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder Jie Shi Chenfei Wu Jian Liang Xiang Liu Nan Duan DiffM 14 25 0 01 Jun 2022
Flowification: Everything is a Normalizing Flow Bálint Máté Samuel Klein T. Golling Franccois Fleuret 23 3 0 30 May 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models Dongjun Kim Byeonghu Na S. Kwon Dongsoo Lee Wanmo Kang Il-Chul Moon DiffM 213 52 0 27 May 2022
Flow-based Recurrent Belief State Learning for POMDPs Xiaoyu Chen Yao Mu Ping Luo Sheng Li Jianyu Chen 45 18 0 23 May 2022
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model Jianwen Xie Y. Zhu Juntao Li Ping Li 24 50 0 13 May 2022
Efficient-VDVAE: Less is more Louay Hazami Rayhane Mama Ragavan Thurairatnam BDL 26 28 0 25 Mar 2022
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis Max W. Y. Lam Jun Wang Dan Su Dong Yu DiffM 36 92 0 25 Mar 2022
TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed Shian Du Yihong Luo Wei Chen Jian Xu Delu Zeng 32 7 0 19 Mar 2022
Semi-Discrete Normalizing Flows through Differentiable Tessellation Ricky T. Q. Chen Brandon Amos Maximilian Nickel 32 10 0 14 Mar 2022
Benchmarking Generative Latent Variable Models for Speech Jakob Drachmann Havtorn Lasse Borgholt Søren Hauberg J. Frellsen Lars Maaløe 26 3 0 22 Feb 2022