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3D Gaussian Splatting (3DGS) provides an explicit and efficient scene representation, but its primitives lack inherent object-level identity, hindering downstream tasks such as open-vocabulary scene understanding. Existing methods typically…

Computer Vision and Pattern Recognition · Computer Science 2026-05-20 Guiyu Liu , Niklas Vaara , Janne Mustaniemi , Juho Kannala , Janne Heikkilä

As augmented reality technology and hardware become more mature and affordable, researchers have been exploring more intuitive and discoverable interaction techniques for immersive environments. In this paper, we investigate multimodal…

Human-Computer Interaction · Computer Science 2022-12-02 Xiaoyan Zhou , Adam S. Williams , Francisco R. Ortega

In-hand object manipulation is an important capability for dexterous manipulation. In this paper, we introduce a modeling and planning framework for in-hand object reconfiguration, focusing on frictional patch contacts between the robot's…

Robotics · Computer Science 2024-10-22 An Dang , James Lorenz , Xili Yi , Nima Fazeli

Recent advances in 3D Gaussian Splatting (3DGS) have achieved state-of-the-art results for novel view synthesis. However, efficiently capturing high-fidelity reconstructions of specific objects within complex scenes remains a significant…

Computer Vision and Pattern Recognition · Computer Science 2025-12-16 Haiyi Li , Qi Chen , Denis Kalkofen , Hsiang-Ting Chen

High-quality and controllable digital twins of surgical instruments are critical for Real2Sim in robot-assisted surgery, as they enable realistic simulation, synthetic data generation, and perception learning under novel poses. We present…

This work presents DLO-Splatting, an algorithm for estimating the 3D shape of Deformable Linear Objects (DLOs) from multi-view RGB images and gripper state information through prediction-update filtering. The DLO-Splatting algorithm uses a…

Computer Vision and Pattern Recognition · Computer Science 2025-05-22 Holly Dinkel , Marcel Büsching , Alberta Longhini , Brian Coltin , Trey Smith , Danica Kragic , Mårten Björkman , Timothy Bretl

Gaussian Splatting (GS) has recently emerged as a promising technique for 3D object reconstruction, delivering high-quality rendering results with significantly improved reconstruction speed. As variants continue to appear, assessing the…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Tianang Chen , Jian Jin , Shilv Cai , Zhuangzi Li , Weisi Lin

We tackle the challenge of efficiently reconstructing 3D scenes with high detail on objects of interest. Existing 3D Gaussian Splatting (3DGS) methods allocate resources uniformly across the scene, limiting fine detail to Regions Of…

Graphics · Computer Science 2025-10-20 Quoc-Anh Bui , Gilles Rougeron , Géraldine Morin , Simone Gasparini

Synthesizing human motion has advanced rapidly, yet realistic hand motion and bimanual interaction remain underexplored. Whole-body models often miss the fine-grained cues that drive dexterous behavior, finger articulation, contact timing,…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Zimu Zhang , Yucheng Zhang , Xiyan Xu , Ziyin Wang , Sirui Xu , Kai Zhou , Bing Zhou , Chuan Guo , Jian Wang , Yu-Xiong Wang , Liang-Yan Gui

Reconstructing 3D geometry and appearance from a sparse set of fixed cameras is a foundational task with broad applications, yet it remains fundamentally constrained by the limited viewpoints. We show that this bound can be broken by…

Computer Vision and Pattern Recognition · Computer Science 2026-03-30 Ryosuke Hirai , Kohei Yamashita , Antoine Guédon , Ryo Kawahara , Vincent Lepetit , Ko Nishino

Recent advancements in implicit 3D reconstruction methods, e.g., neural rendering fields and Gaussian splatting, have primarily focused on novel view synthesis of static or dynamic objects with continuous motion states. However, these…

Graphics · Computer Science 2025-02-21 Gan Chen , Ying He , Mulin Yu , F. Richard Yu , Gang Xu , Fei Ma , Ming Li , Guang Zhou

3D Gaussian Splatting (3DGS) has emerged as a powerful representation for high-quality rendering across a wide range of applications.However, its high computational demands and large storage costs pose significant challenges for deployment…

Computer Vision and Pattern Recognition · Computer Science 2026-03-13 Xiaobiao Du , Yida Wang , Kun Zhan , Xin Yu

State-of-the-art object pose estimation methods are prone to generating geometrically infeasible pose hypotheses. This problem is prevalent in dexterous manipulation, where estimated poses often intersect with the robotic hand or are not…

Robotics · Computer Science 2026-03-24 Anil Zeybek , Rhys Newbury , Snehal Dikhale , Nawid Jamali , Soshi Iba , Akansel Cosgun

We study how well different types of approaches generalise in the task of 3D hand pose estimation under single hand scenarios and hand-object interaction. We show that the accuracy of state-of-the-art methods can drop, and that they fail…

Building articulated objects is a key challenge in computer vision. Existing methods often fail to effectively integrate information across different object states, limiting the accuracy of part-mesh reconstruction and part dynamics…

Computer Vision and Pattern Recognition · Computer Science 2025-05-28 Yu Liu , Baoxiong Jia , Ruijie Lu , Junfeng Ni , Song-Chun Zhu , Siyuan Huang

3D Gaussian Splatting (3DGS) has emerged as a prominent technique with the potential to become a mainstream method for 3D representations. It can effectively transform multi-view images into explicit 3D Gaussian through efficient training,…

Computer Vision and Pattern Recognition · Computer Science 2024-12-18 Yanqi Bao , Tianyu Ding , Jing Huo , Yaoli Liu , Yuxin Li , Wenbin Li , Yang Gao , Jiebo Luo

Representation in the family of 3D Gaussian Splats (3DGS) are growing into a viable alternative to traditional graphics for an expanding number of application, including recent techniques that facilitate physics simulation and animation.…

Computer Vision and Pattern Recognition · Computer Science 2026-02-12 Clement Fuji Tsang , Anita Hu , Or Perel , Carsten Kolve , Maria Shugrina

3D editing plays a crucial role in many areas such as gaming and virtual reality. Traditional 3D editing methods, which rely on representations like meshes and point clouds, often fall short in realistically depicting complex scenes. On the…

Computer Vision and Pattern Recognition · Computer Science 2023-12-21 Yiwen Chen , Zilong Chen , Chi Zhang , Feng Wang , Xiaofeng Yang , Yikai Wang , Zhongang Cai , Lei Yang , Huaping Liu , Guosheng Lin

As consumer Virtual Reality (VR) and Mixed Reality (MR) technologies gain momentum, there's a growing focus on the development of engagements with 3D virtual content. Unfortunately, traditional techniques for content creation, editing, and…

Human-Computer Interaction · Computer Science 2024-05-07 Ying Jiang , Chang Yu , Tianyi Xie , Xuan Li , Yutao Feng , Huamin Wang , Minchen Li , Henry Lau , Feng Gao , Yin Yang , Chenfanfu Jiang

Accurately modeling detailed interactions between human/hand and object is an appealing yet challenging task. Current multi-view capture systems are only capable of reconstructing multiple subjects into a single, unified mesh, which fails…

Computer Vision and Pattern Recognition · Computer Science 2024-03-22 Jiajun Zhang , Yuxiang Zhang , Hongwen Zhang , Xiao Zhou , Boyao Zhou , Ruizhi Shao , Zonghai Hu , Yebin Liu