Image de couverture de livre

MatPhys: Learning Material-Aware Physics Parameters for Deformable Object Simulation from Videos

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yang, Yang, Wang, Yiyan, Liu, Zheming, Iwamoto, Naoya
Format:	Preprint
Publié:	2026
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos
par: Jiang, Hanxiao, et autres
Publié: (2025)

PhysWorld: From Real Videos to World Models of Deformable Objects via Physics-Aware Demonstration Synthesis
par: Yang, Yu, et autres
Publié: (2025)

Object-Aware Video Matting with Cross-Frame Guidance
par: Zhang, Huayu, et autres
Publié: (2025)

PhysX-Omni: Unified Simulation-Ready Physical 3D Generation for Rigid, Deformable, and Articulated Objects
par: Cao, Ziang, et autres
Publié: (2026)

MatAnyone 2: Scaling Video Matting via a Learned Quality Evaluator
par: Yang, Peiqing, et autres
Publié: (2025)

PhysRVG: Physics-Aware Unified Reinforcement Learning for Video Generative Models
par: Zhang, Qiyuan, et autres
Publié: (2026)

MatAnyone: Stable Video Matting with Consistent Memory Propagation
par: Yang, Peiqing, et autres
Publié: (2025)

VideoMat: Extracting PBR Materials from Video Diffusion Models
par: Munkberg, Jacob, et autres
Publié: (2025)

NeuSpring: Neural Spring Fields for Reconstruction and Simulation of Deformable Objects from Videos
par: Xu, Qingshan, et autres
Publié: (2025)

Morpho-Aware Global Attention for Image Matting
par: Yang, Jingru, et autres
Publié: (2024)

PhysCtrl: Generative Physics for Controllable and Physics-Grounded Video Generation
par: Wang, Chen, et autres
Publié: (2025)

MatE: Material Extraction from Single-Image via Geometric Prior
par: Zhang, Zeyu, et autres
Publié: (2025)

PhysChoreo: Physics-Controllable Video Generation with Part-Aware Semantic Grounding
par: Zhang, Haoze, et autres
Publié: (2025)

Generative Video Matting
par: Ge, Yongtao, et autres
Publié: (2025)

PhysHanDI: Physics-Based Reconstruction of Hand-Deformable Object Interactions
par: Lee, Jihyun, et autres
Publié: (2026)

VRMDiff: Text-Guided Video Referring Matting Generation of Diffusion
par: Yang, Lehan, et autres
Publié: (2025)

MatMart: Material Reconstruction of 3D Objects via Diffusion
par: Wu, Xiuchao, et autres
Publié: (2025)

VideoNeuMat: Neural Material Extraction from Generative Video Models
par: Xue, Bowen, et autres
Publié: (2026)

SAEC: Scene-Aware Enhanced Edge-Cloud Collaborative Industrial Vision Inspection with Multimodal LLM
par: Tian, Yuhao, et autres
Publié: (2025)

DeformMaster: An Interactive Physics-Neural World Model for Deformable Objects from Videos
par: Li, Can, et autres
Publié: (2026)

ReconPhys: Reconstruct Appearance and Physical Attributes from Single Video
par: Wang, Boyuan, et autres
Publié: (2026)

Unsegment Anything by Simulating Deformation
par: Lu, Jiahao, et autres
Publié: (2024)

PhysGame: Uncovering Physical Commonsense Violations in Gameplay Videos
par: Cao, Meng, et autres
Publié: (2024)

MatPedia: A Universal Generative Foundation for High-Fidelity Material Synthesis
par: Luo, Di, et autres
Publié: (2025)

Phys-Liquid: A Physics-Informed Dataset for Estimating 3D Geometry and Volume of Transparent Deformable Liquids
par: Ma, Ke, et autres
Publié: (2025)

PhysMaster: Mastering Physical Representation for Video Generation via Reinforcement Learning
par: Ji, Sihui, et autres
Publié: (2025)

SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials
par: Cao, Junyi, et autres
Publié: (2025)

RGBD Objects in the Wild: Scaling Real-World 3D Object Learning from RGB-D Videos
par: Xia, Hongchi, et autres
Publié: (2024)

Self-supervised Video Object Segmentation with Distillation Learning of Deformable Attention
par: Truong, Quang-Trung, et autres
Publié: (2024)

PhysPart: Physically Plausible Part Completion for Interactable Objects
par: Luo, Rundong, et autres
Publié: (2024)

VideoMatGen: PBR Materials through Joint Generative Modeling
par: Hasselgren, Jon, et autres
Publié: (2026)

SuperMat: Physically Consistent PBR Material Estimation at Interactive Rates
par: Hong, Yijia, et autres
Publié: (2024)

PhysFlow: Unleashing the Potential of Multi-modal Foundation Models and Video Diffusion for 4D Dynamic Physical Scene Simulation
par: Liu, Zhuoman, et autres
Publié: (2024)

PhysLayer: Language-Guided Layered Animation with Depth-Aware Physics
par: Xie, Tianyidan, et autres
Publié: (2026)

DiffuMatting: Synthesizing Arbitrary Objects with Matting-level Annotation
par: Hu, Xiaobin, et autres
Publié: (2024)

PhysDreamer: Physics-Based Interaction with 3D Objects via Video Generation
par: Zhang, Tianyuan, et autres
Publié: (2024)

RealMat: Realistic Materials with Diffusion and Reinforcement Learning
par: Zhou, Xilong, et autres
Publié: (2025)

PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations
par: Zheng, Yang, et autres
Publié: (2024)

HeatMat: Simulation of City Material Impact on Urban Heat Island Effect
par: Reinbigler, Marie, et autres
Publié: (2026)

MoDA: Modeling Deformable 3D Objects from Casual Videos
par: Song, Chaoyue, et autres
Publié: (2023)