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Related papers: Half-Physics: Enabling Kinematic 3D Human Model wi…

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This article describes a volumetric approach for procedural shape modeling and a new Procedural Shape Modeling Language (PSML) that facilitates the specification of these models. PSML provides programmers the ability to describe shapes in…

Graphics · Computer Science 2021-03-23 Andrew Willis , Prashant Ganesh , Kyle Volle , Jincheng Zhang , Kevin Brink

This paper proposes an approach that generates multiple 3D human meshes from text. The human shapes are represented by 3D meshes based on the SMPL model. The model's performance is evaluated on the COCO dataset, which contains challenging…

Computer Vision and Pattern Recognition · Computer Science 2021-07-06 Rania Briq , Pratika Kochar , Juergen Gall

Synthesizing interaction-involved human motions has been challenging due to the high complexity of 3D environments and the diversity of possible human behaviors within. We present LAMA, Locomotion-Action-MAnipulation, to synthesize natural…

Computer Vision and Pattern Recognition · Computer Science 2023-09-11 Jiye Lee , Hanbyul Joo

This paper presents a method which can track and 3D reconstruct the non-rigid surface motion of human performance using a moving RGB-D camera. 3D reconstruction of marker-less human performance is a challenging problem due to the large…

Computer Vision and Pattern Recognition · Computer Science 2018-10-10 Shafeeq Elanattil , Peyman Moghadam , Simon Denman , Sridha Sridharan , Clinton Fookes

The vast majority of visual animals actively control their eyes, heads, and/or bodies to direct their gaze toward different parts of their environment. In contrast, recent applications of reinforcement learning in robotic manipulation…

Computer Vision and Pattern Recognition · Computer Science 2020-03-17 Youssef Zaky , Gaurav Paruthi , Bryan Tripp , James Bergstra

Current methods for learning realistic and animatable 3D clothed avatars need either posed 3D scans or 2D images with carefully controlled user poses. In contrast, our goal is to learn an avatar from only 2D images of people in…

Computer Vision and Pattern Recognition · Computer Science 2022-03-30 Yuliang Xiu , Jinlong Yang , Dimitrios Tzionas , Michael J. Black

Finding correspondences between 3D shapes is an important and long-standing problem in computer vision, graphics and beyond. A prominent challenge are partial-to-partial shape matching settings, which occur when the shapes to match are only…

Computer Vision and Pattern Recognition · Computer Science 2024-05-13 Viktoria Ehm , Maolin Gao , Paul Roetzer , Marvin Eisenberger , Daniel Cremers , Florian Bernard

Estimating 3D human pose and shape from a single image is highly under-constrained. To address this ambiguity, we propose a novel prior, namely kinematic dictionary, which explicitly regularizes the solution space of relative 3D rotations…

Computer Vision and Pattern Recognition · Computer Science 2021-04-22 Ze Ma , Yifan Yao , Pan Ji , Chao Ma

Learning articulated object pose is inherently difficult because the pose is high dimensional but has many structural constraints. Most existing work do not model such constraints and does not guarantee the geometric validity of their pose…

Computer Vision and Pattern Recognition · Computer Science 2016-09-20 Xingyi Zhou , Xiao Sun , Wei Zhang , Shuang Liang , Yichen Wei

When the effects of relative motion at the solid object interfaces are not negligible, the contact method is required in the smoothed particle hydrodynamics (SPH) method to prevent virtual shear and tensile stresses. However, there is still…

Fluid Dynamics · Physics 2024-09-06 Wenbin Liu , Zhuoping Duan , Yan Liu , Fenglei Huang

High fidelity digital 3D environments have been proposed in recent years, however, it remains extremely challenging to automatically equip such environment with realistic human bodies. Existing work utilizes images, depth or semantic maps…

Computer Vision and Pattern Recognition · Computer Science 2020-11-13 Siwei Zhang , Yan Zhang , Qianli Ma , Michael J. Black , Siyu Tang

The use of 3D modelling in medical education is a revolutionary tool during the learning process. In fact, this type of technology enables a more interactive teaching approach, making information retention more effective and enhancing…

Multimedia · Computer Science 2024-11-14 Tânia Rocha , Ana Ribeiro , Joana Oliveira , Ricardo Nunes , Diana Carvalho , Hugo Paredes , Paulo Martins

Generating realistic full-body motion interacting with objects is critical for applications in robotics, virtual reality, and human-computer interaction. While existing methods can generate full-body motion within 3D scenes, they often lack…

Computer Vision and Pattern Recognition · Computer Science 2025-10-28 Kunal Bhosikar , Siddharth Katageri , Vivek Madhavaram , Kai Han , Charu Sharma

Parametric 3D human models such as SMPL have driven significant advances in human pose and shape estimation, yet their simplified kinematics limit biomechanical realism. The recently proposed SKEL model addresses this limitation by…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Da Li , Jiping Jin , Xuanlong Yu , Wei Liu , Xiaodong Cun , Kai Chen , Rui Fan , Jiangang Kong , Xi Shen

Understanding 3D scenes requires flexible combinations of visual reasoning tasks, including depth estimation, novel view synthesis, and object manipulation, all of which are essential for perception and interaction. Existing approaches have…

Computer Vision and Pattern Recognition · Computer Science 2026-05-26 Wanhee Lee , Klemen Kotar , Rahul Mysore Venkatesh , Jared Watrous , Honglin Chen , Khai Loong Aw , Daniel L. K. Yamins

The representation of parallax on virtual environment is still a problem to be studied. Common algorithms, such as Bump Mapping, Parallax Mapping and Displacement Mapping, treats this problem for small disparity between a real object and a…

Graphics · Computer Science 2024-02-27 Alexandre Yip Gonçalves Dias , Marcelo Knörich Zuffo

Dexterous manipulation of objects in virtual environments with our bare hands, by using only a depth sensor and a state-of-the-art 3D hand pose estimator (HPE), is challenging. While virtual environments are ruled by physics, e.g. object…

Computer Vision and Pattern Recognition · Computer Science 2020-08-10 Guillermo Garcia-Hernando , Edward Johns , Tae-Kyun Kim

We present Calipso, an interactive method for editing images and videos in a physically-coherent manner. Our main idea is to realize physics-based manipulations by running a full physics simulation on proxy geometries given by non-rigidly…

Graphics · Computer Science 2017-08-15 Nazim Haouchine , Frederick Roy , Hadrien Courtecuisse , Matthias Nießner , Stephane Cotin

Hands are the main medium when people interact with the world. Generating proper 3D motion for hand-object interaction is vital for applications such as virtual reality and robotics. Although grasp tracking or object manipulation synthesis…

Computer Vision and Pattern Recognition · Computer Science 2024-01-30 Yuze Hao , Jianrong Zhang , Tao Zhuo , Fuan Wen , Hehe Fan

Humans build 3D understandings of the world through active object exploration, using jointly their senses of vision and touch. However, in 3D shape reconstruction, most recent progress has relied on static datasets of limited sensory data…

Computer Vision and Pattern Recognition · Computer Science 2021-10-27 Edward J. Smith , David Meger , Luis Pineda , Roberto Calandra , Jitendra Malik , Adriana Romero , Michal Drozdzal
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