Image de couverture de livre

MFM-point: Multi-scale Flow Matching for Point Cloud Generation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Molodyk, Petr, Choi, Jaemoo, Romero, David W., Liu, Ming-Yu, Chen, Yongxin
Format:	Preprint
Publié:	2025
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Laplacian Multi-scale Flow Matching for Generative Modeling
par: Zhao, Zelin, et autres
Publié: (2026)

Unsupervised Point Cloud Completion through Unbalanced Optimal Transport
par: Lee, Taekyung, et autres
Publié: (2024)

Improving Neural Optimal Transport via Displacement Interpolation
par: Choi, Jaemoo, et autres
Publié: (2024)

Equivariant Flow Matching for Point Cloud Assembly
par: Wang, Ziming, et autres
Publié: (2025)

GaussianAnything: Interactive Point Cloud Flow Matching For 3D Object Generation
par: Lan, Yushi, et autres
Publié: (2024)

Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport
par: Choi, Jaemoo, et autres
Publié: (2024)

Efficient Generative Modeling beyond Memoryless Diffusion via Adjoint Schrödinger Bridge Matching
par: Shin, Jeongwoo, et autres
Publié: (2026)

Point-It-Out: Benchmarking Embodied Reasoning for Vision Language Models in Multi-Stage Visual Grounding
par: Xue, Haotian, et autres
Publié: (2025)

Not-So-Optimal Transport Flows for 3D Point Cloud Generation
par: Hui, Ka-Hei, et autres
Publié: (2025)

Rectified Point Flow: Generic Point Cloud Pose Estimation
par: Sun, Tao, et autres
Publié: (2025)

Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport
par: Choi, Jaemoo, et autres
Publié: (2023)

PointCloud-Text Matching: Benchmark Datasets and a Baseline
par: Feng, Yanglin, et autres
Publié: (2024)

TrajFlow: Multi-modal Motion Prediction via Flow Matching
par: Yan, Qi, et autres
Publié: (2025)

MRG: A Multi-Robot Manufacturing Digital Scene Generation Method Using Multi-Instance Point Cloud Registration
par: Han, Songjie, et autres
Publié: (2025)

PUFM++: Point Cloud Upsampling via Enhanced Flow Matching
par: Liu, Zhi-Song, et autres
Publié: (2025)

Generative Point Tracking with Flow Matching
par: Tesfaldet, Mattie, et autres
Publié: (2025)

Multi-Scale Generative Modeling with Heat Dissipation Flow Matching
par: Ma, Jun, et autres
Publié: (2026)

Efficient Point Clouds Upsampling via Flow Matching
par: Liu, Zhi-Song, et autres
Publié: (2025)

PointCG: Self-supervised Point Cloud Learning via Joint Completion and Generation
par: Liu, Yun, et autres
Publié: (2024)

DiffPoint: Single and Multi-view Point Cloud Reconstruction with ViT Based Diffusion Model
par: Feng, Yu, et autres
Publié: (2024)

3D Geometric Shape Assembly via Efficient Point Cloud Matching
par: Lee, Nahyuk, et autres
Publié: (2024)

Class-Partitioned VQ-VAE and Latent Flow Matching for Point Cloud Scene Generation
par: Edirimuni, Dasith de Silva, et autres
Publié: (2026)

Flow-OPD: On-Policy Distillation for Flow Matching Models
par: Fang, Zhen, et autres
Publié: (2026)

Points-to-3D: Structure-Aware 3D Generation with Point Cloud Priors
par: Xia, Jiatong, et autres
Publié: (2026)

APML: Adaptive Probabilistic Matching Loss for Robust 3D Point Cloud Reconstruction
par: Sharifipour, Sasan, et autres
Publié: (2025)

Flowception: Temporally Expansive Flow Matching for Video Generation
par: Ifriqi, Tariq Berrada, et autres
Publié: (2025)

MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding
par: Yu, Hai-Tao, et autres
Publié: (2024)

FusionFM: All-in-One Multi-Modal Image Fusion with Flow Matching
par: Zhu, Huayi, et autres
Publié: (2025)

Analyzing and Improving Optimal-Transport-based Adversarial Networks
par: Choi, Jaemoo, et autres
Publié: (2023)

Fine-Grained Urban Flow Inference with Multi-scale Representation Learning
par: Yuan, Shilu, et autres
Publié: (2024)

Improving Progressive Generation with Decomposable Flow Matching
par: Haji-Ali, Moayed, et autres
Publié: (2025)

Learning Patient-Specific Disease Dynamics with Latent Flow Matching for Longitudinal Imaging Generation
par: Chen, Hao, et autres
Publié: (2025)

LEGO: Learning and Graph-Optimized Modular Tracker for Online Multi-Object Tracking with Point Clouds
par: Zhang, Zhenrong, et autres
Publié: (2023)

Point Cloud Self-supervised Learning via 3D to Multi-view Masked Learner
par: Chen, Zhimin, et autres
Publié: (2023)

Point-RTD: Replaced Token Denoising for Pretraining Transformer Models on Point Clouds
par: Stone, Gunner, et autres
Publié: (2025)

Discriminative Flow Matching Via Local Generative Predictors
par: Jha, Om Govind, et autres
Publié: (2026)

Rotation-Invariant Transformer for Point Cloud Matching
par: Yu, Hao, et autres
Publié: (2023)

3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration
par: Zhang, Liyuan, et autres
Publié: (2024)

Register Any Point: Scaling 3D Point Cloud Registration by Flow Matching
par: Pan, Yue, et autres
Publié: (2025)

EADReg: Probabilistic Correspondence Generation with Efficient Autoregressive Diffusion Model for Outdoor Point Cloud Registration
par: Gong, Linrui, et autres
Publié: (2024)