3D 视觉 - arXivDaily 专题

2509.20508 2026-03-04 stat.ML cs.LG 50%

Fast Estimation of Wasserstein Distances via Regression on Sliced Wasserstein Distances

通过回归切片Wasserstein距离快速估计Wasserstein距离

Khai Nguyen, Hai Nguyen, Nhat Ho

机构 * Department of Statistics and Data Sciences University of Texas at Austin（统计与数据科学系得克萨斯大学奥斯汀分校）

专题命中 Gaussian Splatting ：point cloud(abstract)

AI总结本文提出通过回归切片Wasserstein距离快速估计Wasserstein距离的方法，该方法在多种任务中表现出色，尤其在低数据情况下优于现有模型。

Comments Accepted to ICLR 2026, 34 pages, 30 figures, 6 tables

2510.05930 2026-03-02 cs.LG cs.AI math.DG 50%

Carré du champ flow matching: better quality-generalisation tradeoff in generative models

Carré du champ flow matching: 更好的质量-泛化权衡在生成模型中

Jacob Bamberger, Iolo Jones, Dennis Duncan, Michael M. Bronstein, Pierre Vandergheynst, Adam Gosztolai

机构 * Institute of Artificial Intelligence（人工智能研究所）； Medical University of Vienna（维也纳医科大学）； University of Oxford（牛津大学）； AITHYRA ； EPFL（苏黎世联邦理工学院）

专题命中 Gaussian Splatting ：point cloud(abstract)

AI总结 Carré du champ flow matching通过几何感知噪声改进生成模型的质量-泛化权衡，适用于数据稀缺和非均匀采样场景。

2601.18985 2026-01-29 math.AT 50%

Reliable Topology for Dynamic Data: Mathematical Foundations and Applications

动态数据的可靠拓扑：数学基础与应用

Chad M. Topaz

专题命中 Gaussian Splatting ：point cloud(abstract)

AI总结本文提出了一种条件稳定性理论，为动态数据中的Crocker图提供精确不变性和有限变化保障，揭示了稳定性阈值与几何关系。

2503.08305 2026-01-27 cs.LG physics.chem-ph physics.comp-ph 50%

ELECTRA: A Cartesian Network for 3D Charge Density Prediction with Floating Orbitals

ELECTRA：一种用于3D电荷密度预测的笛卡尔网络

Jonas Elsborg, Luca Thiede, Alán Aspuru-Guzik, Tejs Vegge, Arghya Bhowmik

机构 * Technical University of Denmark（丹麦技术大学）； CAPeX Pioneer Center for Accelerating P2X Materials Discovery（CAPeX先锋中心）； University of Toronto（多伦多大学）； Vector Institute for Artificial Intelligence（人工智能矢量研究所）； Canadian Institute for Advanced Research (CIFAR)（加拿大高级研究 institute）

专题命中 Gaussian Splatting ：Gaussian Splatting(abstract)

AI总结 ELECTRA通过笛卡尔张量网络预测漂浮轨道位置，实现高效且准确的3D电荷密度预测，并显著降低DFT计算的SCF迭代次数。

Comments 10 pages, 4 figures, 5 tables, NeurIPS 2025

2511.14042 2025-11-19 stat.ML cs.LG math.OC 50%

Splat Regression Models

Mara Daniels, Philippe Rigollet

机构 * MIT Mathematics（麻省理工学院数学系）

专题命中 Gaussian Splatting ：Gaussian Splatting(abstract)

2410.23220 2025-11-18 math.ST math.OC stat.TH 50%

Method of Moments for Estimation of Noisy Curves

Phillip Lo, Yuehaw Khoo

专题命中 Gaussian Splatting ：point cloud(abstract)

Comments To appear in SIAM Journal on Mathematics of Data Science

2511.04944 2025-11-10 eess.SP 50%

Channel Knowledge Map Construction: Recent Advances and Open Challenges

Zixiang Ren, Juncong Zhou, Jie Xu, Ling Qiu, Yong Zeng, Han Hu, Juyong Zhang, Rui Zhang

专题命中 Gaussian Splatting ：Gaussian Splatting(abstract)

2510.13978 2025-10-24 cs.CG 50%

Instant Skinned Gaussian Avatars for Web, Mobile and VR Applications

Naruya Kondo, Yuto Asano, Yoichi Ochiai

专题命中 Gaussian Splatting ：Gaussian Splatting(abstract)

Comments Accepted to SUI 2025 Demo Track

2504.07144 2025-08-26 eess.IV 50%

GIGA: Generalizable Sparse Image-driven Gaussian Humans

Anton Zubekhin, Heming Zhu, Paulo Gotardo, Thabo Beeler, Marc Habermann, Christian Theobalt

专题命中 Gaussian Splatting ：novel view synthesis(abstract)

Comments 15 pages, 10 figures, project page: https://vcai.mpi-inf.mpg.de/projects/GIGA

2507.19835 2025-07-29 cs.SD cs.MM 50%

SonicGauss: Position-Aware Physical Sound Synthesis for 3D Gaussian Representations

Chunshi Wang, Hongxing Li, Yawei Luo

机构 * Zhejiang University（浙江大学）

专题命中 Gaussian Splatting ：3DGS(abstract)

Comments Accepted by ACMMM'25

2506.15948 2025-06-23 cs.IT eess.IV math.IT 50%

Information-computation trade-offs in non-linear transforms

Connor Ding, Abhiram Rao Gorle, Jiwon Jeong, Naomi Sagan, Tsachy Weissman

专题命中 Gaussian Splatting ：Gaussian Splatting(abstract)

Comments Authors listed in alphabetical order of last name

2506.02929 2025-06-04 cs.AR 50%

Large Processor Chip Model

Kaiyan Chang, Mingzhi Chen, Yunji Chen, Zhirong Chen, Dongrui Fan, Junfeng Gong, Nan Guo, Yinhe Han, Qinfen Hao, Shuo Hou, Xuan Huang, Pengwei Jin, Changxin Ke, Cangyuan Li, Guangli Li, Huawei Li, Kuan Li, Naipeng Li, Shengwen Liang, Cheng Liu, Hongwei Liu, Jiahua Liu, Junliang Lv, Jianan Mu, Jin Qin, Bin Sun, Chenxi Wang, Duo Wang, Mingjun Wang, Ying Wang, Chenggang Wu, Peiyang Wu, Teng Wu, Xiao Xiao, Mengyao Xie, Chenwei Xiong, Ruiyuan Xu, Mingyu Yan, Xiaochun Ye, Kuai Yu, Rui Zhang, Shuoming Zhang, Jiacheng Zhao

专题命中 Gaussian Splatting ：Gaussian Splatting(abstract)

2405.15506 2025-05-21 cs.LG 50%

Learning to Discretize Denoising Diffusion ODEs

Vinh Tong, Hoang Trung-Dung, Anji Liu, Guy Van den Broeck, Mathias Niepert

专题命中 Gaussian Splatting ：point cloud(abstract)

2405.04804 2025-04-08 cs.NI 50%

WixUp: A General Data Augmentation Framework for Wireless Perception in Tracking of Humans

Yin Li, Rajalakshmi Nandakumar

专题命中 Gaussian Splatting ：point cloud(abstract)

Comments SenSys pre-published version

2412.04286 2024-12-06 math.ST math.AT stat.TH 50%

Alpha shapes and optimal transport on the sphere

Erik Carlsson, Greg DePaul

专题命中 Gaussian Splatting ：point cloud(abstract)

Comments 21 pages, 3 figures

2409.12805 2024-09-20 stat.ML cs.LG quant-ph 50%

Robust estimation of the intrinsic dimension of data sets with quantum cognition machine learning

Luca Candelori, Alexander G. Abanov, Jeffrey Berger, Cameron J. Hogan, Vahagn Kirakosyan, Kharen Musaelian, Ryan Samson, James E. T. Smith, Dario Villani, Martin T. Wells, Mengjia Xu

专题命中 Gaussian Splatting ：point cloud(abstract)

2311.17831 2024-05-02 math.ST stat.TH 50%

Confidence Regions for Filamentary Structures

Wanli Qiao

专题命中 Gaussian Splatting ：point cloud(abstract)

2210.10962 2023-11-10 stat.ML cs.LG math.OC 50%

Optimization on Manifolds via Graph Gaussian Processes

Hwanwoo Kim, Daniel Sanz-Alonso, Ruiyi Yang

专题命中 Gaussian Splatting ：point cloud(abstract)

2310.00049 2023-10-03 hep-ph cs.LG 50%

EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion

Erik Buhmann, Cedric Ewen, Darius A. Faroughy, Tobias Golling, Gregor Kasieczka, Matthew Leigh, Guillaume Quétant, John Andrew Raine, Debajyoti Sengupta, David Shih

专题命中 Gaussian Splatting ：point cloud(abstract)

Comments 21 pages, 8 figures

2306.14206 2023-06-27 astro-ph.GA astro-ph.SR 50%

Weisfeiler-Lehman Graph Kernel Method: A New Approach to Weak Chemical Tagging

Yuan-Sen Ting, Bhavesh Sharma

专题命中 Gaussian Splatting ：point cloud(abstract)

Comments 7 pages, 4 figures, accepted to the ICML 2023 Machine Learning for Astrophysics workshop

2111.13802 2023-03-03 cs.LG cs.CE 50%

Factorized Fourier Neural Operators

Alasdair Tran, Alexander Mathews, Lexing Xie, Cheng Soon Ong

专题命中 Gaussian Splatting ：point cloud(abstract)

Comments Published in The Eleventh International Conference on Learning Representations (2023). Code is available at https://github.com/alasdairtran/fourierflow

2202.01929 2023-02-24 cs.LG stat.ML 50%

Energy-Based Models for Functional Data using Path Measure Tilting

Jen Ning Lim, Sebastian Vollmer, Lorenz Wolf, Andrew Duncan

专题命中 Gaussian Splatting ：point cloud(abstract)

Comments Updated for AISTATS 2023

2301.06533 2023-01-18 stat.ML cs.LG stat.ME 50%

Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics

Mu Niu, Zhenwen Dai, Pokman Cheung, Yizhu Wang

专题命中 Gaussian Splatting ：point cloud(abstract)

2211.12346 2022-11-23 astro-ph.CO cs.LG 50%

Cosmology from Galaxy Redshift Surveys with PointNet

Sotiris Anagnostidis, Arne Thomsen, Tomasz Kacprzak, Tilman Tröster, Luca Biggio, Alexandre Refregier, Thomas Hofmann

专题命中 Gaussian Splatting ：point cloud(abstract)

2206.12690 2022-10-26 cs.CE 50%

ECG Classification based on Wasserstein Scalar Curvature

Fupeng Sun, Yin Ni, Yihao Luo, Huafei Sun

专题命中 Gaussian Splatting ：point cloud(abstract)

2207.11142 2022-07-25 math.PR 50%

Central limit theorems and asymptotic independence for local $U$-statistics on diverging halfspaces

Andrew M. Thomas

专题命中 Gaussian Splatting ：point cloud(abstract)

Comments 25 pages, 3 figures

2204.11715 2022-04-26 astro-ph.GA astro-ph.IM stat.ML 50%

The Galactic 3D large-scale dust distribution via Gaussian process regression on spherical coordinates

R. H. Leike, G. Edenhofer, J. Knollmüller, C. Alig, P. Frank, T. A. Enßlin

专题命中 Gaussian Splatting ：3D reconstruction(abstract)

2201.12324 2022-01-31 cs.LG stat.ML 50%

Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein

Marco Cuturi, Laetitia Meng-Papaxanthos, Yingtao Tian, Charlotte Bunne, Geoff Davis, Olivier Teboul

专题命中 Gaussian Splatting ：point cloud(abstract)

Comments 4 pages

2112.13725 2021-12-28 cs.IT math.IT math.OC 50%

Near-Optimal Bounds for Generalized Orthogonal Procrustes Problem via Generalized Power Method

Shuyang Ling

专题命中 Gaussian Splatting ：point cloud(abstract)

2111.10940 2021-11-23 stat.ML cs.LG 50%

How do kernel-based sensor fusion algorithms behave under high dimensional noise?

Xiucai Ding, Hau-Tieng Wu

专题命中 Gaussian Splatting ：point cloud(abstract)

1. Gaussian Splatting 3163 篇

Fast Estimation of Wasserstein Distances via Regression on Sliced Wasserstein Distances

Carré du champ flow matching: better quality-generalisation tradeoff in generative models

Reliable Topology for Dynamic Data: Mathematical Foundations and Applications

ELECTRA: A Cartesian Network for 3D Charge Density Prediction with Floating Orbitals

Splat Regression Models

Method of Moments for Estimation of Noisy Curves

Channel Knowledge Map Construction: Recent Advances and Open Challenges

Instant Skinned Gaussian Avatars for Web, Mobile and VR Applications

GIGA: Generalizable Sparse Image-driven Gaussian Humans

SonicGauss: Position-Aware Physical Sound Synthesis for 3D Gaussian Representations

Information-computation trade-offs in non-linear transforms

Large Processor Chip Model

Learning to Discretize Denoising Diffusion ODEs

WixUp: A General Data Augmentation Framework for Wireless Perception in Tracking of Humans

Alpha shapes and optimal transport on the sphere

Robust estimation of the intrinsic dimension of data sets with quantum cognition machine learning

Confidence Regions for Filamentary Structures

Optimization on Manifolds via Graph Gaussian Processes

EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion

Weisfeiler-Lehman Graph Kernel Method: A New Approach to Weak Chemical Tagging

Factorized Fourier Neural Operators

Energy-Based Models for Functional Data using Path Measure Tilting

Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics

Cosmology from Galaxy Redshift Surveys with PointNet

ECG Classification based on Wasserstein Scalar Curvature

Central limit theorems and asymptotic independence for local $U$-statistics on diverging halfspaces

The Galactic 3D large-scale dust distribution via Gaussian process regression on spherical coordinates

Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein

Near-Optimal Bounds for Generalized Orthogonal Procrustes Problem via Generalized Power Method

How do kernel-based sensor fusion algorithms behave under high dimensional noise?