The Riemannian Geometry of Deep Generative Models

21 November 2017

Papers citing "The Riemannian Geometry of Deep Generative Models"

50 / 103 papers shown

Title
Image Interpolation with Score-based Riemannian Metrics of Diffusion Models Shinnosuke Saito Takashi Matsubara DiffM 82 1 0 28 Apr 2025
Bringing Diversity from Diffusion Models to Semantic-Guided Face Asset Generation Yunxuan Cai Sitao Xiang Zongjian Li Haiwei Chen Yajie Zhao 44 0 0 21 Apr 2025
Tangentially Aligned Integrated Gradients for User-Friendly Explanations Lachlan Simpson Federico Costanza Kyle Millar A. Cheng Cheng-Chew Lim Hong-Gunn Chew FAtt 86 2 0 11 Mar 2025
Investigating Image Manifolds of 3D Objects: Learning, Shape Analysis, and Comparisons Benjamin Beaudett Shenyuan Liang Anuj Srivastava 58 0 0 09 Mar 2025
Riemannian Integrated Gradients: A Geometric View of Explainable AI Federico Costanza Lachlan Simpson 42 0 0 02 Mar 2025
A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks Haoyang Li Li Bai Qingqing Ye Haibo Hu Yaxin Xiao Huadi Zheng Jianliang Xu 66 0 0 26 Feb 2025
Analyzing Deep Transformer Models for Time Series Forecasting via Manifold Learning Ilya Kaufman Omri Azencot AI4TS 31 2 0 17 Oct 2024
SRIF: Semantic Shape Registration Empowered by Diffusion-based Image Morphing and Flow Estimation Mingze Sun Chen Guo Puhua Jiang Shiwei Mao Yurun Chen Ruqi Huang 69 4 0 18 Sep 2024
Manifold Learning via Foliations and Knowledge Transfer E. Tron E. Fioresi 35 1 0 11 Sep 2024
Beyond Flatland: A Geometric Take on Matching Methods for Treatment Effect Estimation Melanie F. Pradier Javier González CML 50 0 0 09 Sep 2024
(Deep) Generative Geodesics Beomsu Kim Michael Puthawala Jong Chul Ye Emanuele Sansone 28 0 0 15 Jul 2024
Varying Manifolds in Diffusion: From Time-varying Geometries to Visual Saliency Junhao Chen Manyi Li Zherong Pan Xifeng Gao Changhe Tu DiffM 43 2 0 07 Jun 2024
Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution Eslam Zaher Maciej Trzaskowski Quan Nguyen Fred Roosta AAML 29 4 0 16 May 2024
Pulling back symmetric Riemannian geometry for data analysis W. Diepeveen 29 2 0 11 Mar 2024
A Differential Geometric View and Explainability of GNN on Evolving Graphs Yazheng Liu Xi Zhang Sihong Xie 21 3 0 11 Mar 2024
Manifold Preserving Guided Diffusion Yutong He Naoki Murata Chieh-Hsin Lai Yuhta Takida Toshimitsu Uesaka ... Wei-Hsiang Liao Yuki Mitsufuji J. Zico Kolter Ruslan Salakhutdinov Stefano Ermon DiffM 116 66 0 28 Nov 2023
Controlling the Output of a Generative Model by Latent Feature Vector Shifting Róbert Belanec Peter Lacko Kristína Malinovská 22 1 0 15 Nov 2023
MMP++: Motion Manifold Primitives with Parametric Curve Models Yonghyeon Lee 34 4 0 26 Oct 2023
Unsupervised Discovery of Interpretable Directions in h-space of Pre-trained Diffusion Models Zijian Zhang Luping Liu Zhijie Lin Yichen Zhu Zhou Zhao DiffM 42 4 0 15 Oct 2023
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication Irene Cannistraci Luca Moschella Marco Fumero Valentino Maiorca Emanuele Rodolà 43 12 0 02 Oct 2023
A Geometric Perspective on Autoencoders Yonghyeon Lee 18 6 0 15 Sep 2023
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry Yong-Hyun Park Mingi Kwon J. Choi Junghyo Jo Youngjung Uh DiffM 40 60 0 24 Jul 2023
Surge Routing: Event-informed Multiagent Reinforcement Learning for Autonomous Rideshare Daniel Garces Stephanie Gil AI4TS 28 2 0 05 Jul 2023
Smoothing the Rough Edges: Evaluating Automatically Generated Multi-Lattice Transitions Martha Baldwin N. Meisel Christopher McComb 16 5 0 13 Jun 2023
Data Representations' Study of Latent Image Manifolds Ilya Kaufman Omri Azencot 14 7 0 31 May 2023
Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness Suraj Srinivas Sebastian Bordt Hima Lakkaraju AAML 30 12 0 30 May 2023
Learning Pose Image Manifolds Using Geometry-Preserving GANs and Elasticae Shenyuan Liang Pavan Turaga Anuj Srivastava 33 0 0 17 May 2023
VTAE: Variational Transformer Autoencoder with Manifolds Learning Pourya Shamsolmoali Masoumeh Zareapoor Huiyu Zhou Dacheng Tao Xuelong Li DRL 36 11 0 03 Apr 2023
Variational Inference for Longitudinal Data Using Normalizing Flows Clément Chadebec S. Allassonnière BDL DRL 26 1 0 24 Mar 2023
Geometry-Aware Latent Representation Learning for Modeling Disease Progression of Barrett's Esophagus Vivien van Veldhuizen DRL 41 0 0 17 Mar 2023
Unsupervised Discovery of Semantic Latent Directions in Diffusion Models Yong-Hyun Park Mingi Kwon Junghyo Jo Youngjung Uh DiffM 41 22 0 24 Feb 2023
GANalyzer: Analysis and Manipulation of GANs Latent Space for Controllable Face Synthesis A. P. Fard Mohammad H. Mahoor S. Lamer Timothy D. Sweeny GAN CVBM 34 3 0 02 Feb 2023
Neural networks learn to magnify areas near decision boundaries Jacob A. Zavatone-Veth Sheng Yang Julian Rubinfien Cengiz Pehlevan MLT AI4CE 28 6 0 26 Jan 2023
Latent Spectral Regularization for Continual Learning Emanuele Frascaroli Riccardo Benaglia Matteo Boschini Luca Moschella Cosimo Fiorini Emanuele Rodolà Simone Calderara BDL CLL 34 3 0 09 Jan 2023
Controllable GAN Synthesis Using Non-Rigid Structure-from-Motion René Haas Stella Grasshof Sami S. Brandt 3DV 21 2 0 14 Nov 2022
A unified model for continuous conditional video prediction Xi Ye Guillaume-Alexandre Bilodeau AI4TS 47 7 0 11 Oct 2022
Deep Invertible Approximation of Topologically Rich Maps between Manifolds Michael Puthawala Matti Lassas Ivan Dokmanić Pekka Pankka Maarten V. de Hoop MedIm 26 0 0 02 Oct 2022
A Geometric Perspective on Variational Autoencoders Clément Chadebec S. Allassonnière DRL 37 21 0 15 Sep 2022
Convergent autoencoder approximation of low bending and low distortion manifold embeddings Juliane Braunsmann Marko Rajković M. Rumpf B. Wirth DRL 24 2 0 22 Aug 2022
Adversarial robustness of VAEs through the lens of local geometry Asif Khan Amos Storkey AAML DRL 23 3 0 08 Aug 2022
Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use Case Clément Chadebec Louis J. Vincent S. Allassonnière DRL 34 29 0 16 Jun 2022
The Manifold Hypothesis for Gradient-Based Explanations Sebastian Bordt Uddeshya Upadhyay Zeynep Akata U. V. Luxburg FAtt AAML 31 12 0 15 Jun 2022
Diffeomorphic Counterfactuals with Generative Models Ann-Kathrin Dombrowski Jan E. Gerken Klaus-Robert Muller Pan Kessel DiffM BDL 37 15 0 10 Jun 2022
Manifold Characteristics That Predict Downstream Task Performance Ruan van der Merwe Gregory Newman E. Barnard AAML 16 1 0 16 May 2022
Deep Learning and Synthetic Media Raphaël Millière 26 18 0 11 May 2022
Reactive Motion Generation on Learned Riemannian Manifolds Hadi Beik-Mohammadi Søren Hauberg Georgios Arvanitidis Gerhard Neumann Leonel Rozo 24 11 0 15 Mar 2022
Discriminating Against Unrealistic Interpolations in Generative Adversarial Networks Henning Petzka Ted Kronvall C. Sminchisescu GAN 33 2 0 02 Mar 2022
Autoencoding Low-Resolution MRI for Semantically Smooth Interpolation of Anisotropic MRI Jörg Sander B. D. de Vos Ivana Ivsgum DiffM MedIm 13 15 0 18 Feb 2022
Rayleigh EigenDirections (REDs): GAN latent space traversals for multidimensional features Guha Balakrishnan Raghudeep Gadde Aleix M. Martinez Pietro Perona 44 3 0 25 Jan 2022
Adaptive Feature Interpolation for Low-Shot Image Generation M. Dai Haibin Hang Xiaoyang Guo GAN 22 12 0 04 Dec 2021