:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Molodyk, Petr, Choi, Jaemoo, Romero, David W., Liu, Ming-Yu, Chen, Yongxin
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2511.20041
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Laplacian Multi-scale Flow Matching for Generative Modeling
by: Zhao, Zelin, et al.
Published: (2026)

Unsupervised Point Cloud Completion through Unbalanced Optimal Transport
by: Lee, Taekyung, et al.
Published: (2024)

Improving Neural Optimal Transport via Displacement Interpolation
by: Choi, Jaemoo, et al.
Published: (2024)

Equivariant Flow Matching for Point Cloud Assembly
by: Wang, Ziming, et al.
Published: (2025)

Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport
by: Choi, Jaemoo, et al.
Published: (2024)

GaussianAnything: Interactive Point Cloud Flow Matching For 3D Object Generation
by: Lan, Yushi, et al.
Published: (2024)

Efficient Generative Modeling beyond Memoryless Diffusion via Adjoint Schrödinger Bridge Matching
by: Shin, Jeongwoo, et al.
Published: (2026)

Point-It-Out: Benchmarking Embodied Reasoning for Vision Language Models in Multi-Stage Visual Grounding
by: Xue, Haotian, et al.
Published: (2025)

Rectified Point Flow: Generic Point Cloud Pose Estimation
by: Sun, Tao, et al.
Published: (2025)

Not-So-Optimal Transport Flows for 3D Point Cloud Generation
by: Hui, Ka-Hei, et al.
Published: (2025)

Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport
by: Choi, Jaemoo, et al.
Published: (2023)

PointCloud-Text Matching: Benchmark Datasets and a Baseline
by: Feng, Yanglin, et al.
Published: (2024)

TrajFlow: Multi-modal Motion Prediction via Flow Matching
by: Yan, Qi, et al.
Published: (2025)

MRG: A Multi-Robot Manufacturing Digital Scene Generation Method Using Multi-Instance Point Cloud Registration
by: Han, Songjie, et al.
Published: (2025)

PUFM++: Point Cloud Upsampling via Enhanced Flow Matching
by: Liu, Zhi-Song, et al.
Published: (2025)

Analyzing and Improving Optimal-Transport-based Adversarial Networks
by: Choi, Jaemoo, et al.
Published: (2023)

Multi-Scale Generative Modeling with Heat Dissipation Flow Matching
by: Ma, Jun, et al.
Published: (2026)

PointCG: Self-supervised Point Cloud Learning via Joint Completion and Generation
by: Liu, Yun, et al.
Published: (2024)

Generative Point Tracking with Flow Matching
by: Tesfaldet, Mattie, et al.
Published: (2025)

Efficient Point Clouds Upsampling via Flow Matching
by: Liu, Zhi-Song, et al.
Published: (2025)

DiffPoint: Single and Multi-view Point Cloud Reconstruction with ViT Based Diffusion Model
by: Feng, Yu, et al.
Published: (2024)

3D Geometric Shape Assembly via Efficient Point Cloud Matching
by: Lee, Nahyuk, et al.
Published: (2024)

Flow-OPD: On-Policy Distillation for Flow Matching Models
by: Fang, Zhen, et al.
Published: (2026)

Points-to-3D: Structure-Aware 3D Generation with Point Cloud Priors
by: Xia, Jiatong, et al.
Published: (2026)

APML: Adaptive Probabilistic Matching Loss for Robust 3D Point Cloud Reconstruction
by: Sharifipour, Sasan, et al.
Published: (2025)

Flowception: Temporally Expansive Flow Matching for Video Generation
by: Ifriqi, Tariq Berrada, et al.
Published: (2025)

MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding
by: Yu, Hai-Tao, et al.
Published: (2024)

FusionFM: All-in-One Multi-Modal Image Fusion with Flow Matching
by: Zhu, Huayi, et al.
Published: (2025)

Class-Partitioned VQ-VAE and Latent Flow Matching for Point Cloud Scene Generation
by: Edirimuni, Dasith de Silva, et al.
Published: (2026)

Fine-Grained Urban Flow Inference with Multi-scale Representation Learning
by: Yuan, Shilu, et al.
Published: (2024)

Point-RTD: Replaced Token Denoising for Pretraining Transformer Models on Point Clouds
by: Stone, Gunner, et al.
Published: (2025)

Improving Progressive Generation with Decomposable Flow Matching
by: Haji-Ali, Moayed, et al.
Published: (2025)

Learning Patient-Specific Disease Dynamics with Latent Flow Matching for Longitudinal Imaging Generation
by: Chen, Hao, et al.
Published: (2025)

Flow Generator Matching
by: Huang, Zemin, et al.
Published: (2024)

LEGO: Learning and Graph-Optimized Modular Tracker for Online Multi-Object Tracking with Point Clouds
by: Zhang, Zhenrong, et al.
Published: (2023)

Point Cloud Self-supervised Learning via 3D to Multi-view Masked Learner
by: Chen, Zhimin, et al.
Published: (2023)

Discriminative Flow Matching Via Local Generative Predictors
by: Jha, Om Govind, et al.
Published: (2026)

TractShapeNet: Efficient Multi-Shape Learning with 3D Tractography Point Clouds
by: Lo, Yui, et al.
Published: (2024)

EADReg: Probabilistic Correspondence Generation with Efficient Autoregressive Diffusion Model for Outdoor Point Cloud Registration
by: Gong, Linrui, et al.
Published: (2024)

Flow-GRPO: Training Flow Matching Models via Online RL
by: Liu, Jie, et al.
Published: (2025)