SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds

8 June 2020

Hyeongju Kim

Papers citing "SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds"

22 / 22 papers shown

Title
NF-SLAM: Effective, Normalizing Flow-supported Neural Field representations for object-level visual SLAM in automotive applications Li Cui Yang Ding Richard Hartley Zirui Xie L. Kneip Zhenghua Yu 41 0 0 14 Mar 2025
Wasserstein Flow Matching: Generative modeling over families of distributions Doron Haviv Aram-Alexandre Pooladian D. Pe’er Brandon Amos OOD 37 0 0 01 Nov 2024
Gen-Swarms: Adapting Deep Generative Models to Swarms of Drones Carlos Plou Pablo Pueyo Ruben Martinez-Cantin Mac Schwager Ana C. Murillo Eduardo Montijano 133 0 0 28 Aug 2024
FAKEPCD: Fake Point Cloud Detection via Source Attribution Y. Qu Zhikun Zhang Yun Shen Michael Backes Yang Zhang 3DPC 40 0 0 18 Dec 2023
AI-Generated Content (AIGC) for Various Data Modalities: A Survey Lin Geng Foo Hossein Rahmani Xiaozhong Liu 78 31 0 27 Aug 2023
Out-of-distribution detection using normalizing flows on the data manifold S. Razavi M. Mehmanchi Reshad Hosseini Mostafa Tavassolipour OODD 48 0 0 26 Aug 2023
A Review of Change of Variable Formulas for Generative Modeling Ullrich Kothe 21 6 0 04 Aug 2023
Controllable Mesh Generation Through Sparse Latent Point Diffusion Models Zhaoyang Lyu Jinyi Wang Yuwei An Ya-Qin Zhang Dahua Lin Bo Dai DiffM 42 36 0 14 Mar 2023
PointInverter: Point Cloud Reconstruction and Editing via a Generative Model with Shape Priors Jaeyeon Kim Binh-Son Hua D. Nguyen Sai-Kit Yeung 3DPC 26 7 0 16 Nov 2022
Grassmann Manifold Flows for Stable Shape Generation Ryoma Yataka Kazuki Hirashima Masashi Shiraishi 24 1 0 05 Nov 2022
LION: Latent Point Diffusion Models for 3D Shape Generation Fangyin Wei Arash Vahdat Francis Williams Zan Gojcic Or Litany Sanja Fidler Karsten Kreis DiffM 49 485 0 12 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
Neural Wavelet-domain Diffusion for 3D Shape Generation Ka-Hei Hui Ruihui Li Jingyu Hu Chi-Wing Fu DiffM 56 123 0 19 Sep 2022
IL-flOw: Imitation Learning from Observation using Normalizing Flows Wei-Di Chang J. A. G. Higuera Scott Fujimoto D. Meger Gregory Dudek 38 9 0 19 May 2022
COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence Andrew McDonald Pang-Ning Tan Lifeng Luo 21 9 0 02 May 2022
WarpingGAN: Warping Multiple Uniform Priors for Adversarial 3D Point Cloud Generation Yingzhi Tang Y. Qian Qijian Zhang Yiming Zeng Junhui Hou Xuefei Zhe 3DPC 30 16 0 24 Mar 2022
Attention-based Transformation from Latent Features to Point Clouds Kaiyi Zhang Ximing Yang Yuan Wu Cheng Jin 3DPC 19 19 0 10 Dec 2021
IKFlow: Generating Diverse Inverse Kinematics Solutions Barrett Ames Jeremy Morgan George Konidaris 14 34 0 17 Nov 2021
Intuitive and Efficient Roof Modeling for Reconstruction and Synthesis Jing Ren Biao Zhang Bojian Wu Jianqiang Huang Lubin Fan M. Ovsjanikov Peter Wonka 19 19 0 16 Sep 2021
Learning to design drug-like molecules in three-dimensional space using deep generative models Yibo Li Jianfeng Pei L. Lai DiffM 35 111 0 17 Apr 2021
3D Shape Generation and Completion through Point-Voxel Diffusion Linqi Zhou Yilun Du Jiajun Wu DiffM 29 510 0 08 Apr 2021
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 78 390 0 20 Oct 2016