In this paper, we present a solution for arbitrary 3D character deformation by investigating rotation angle of decomposition and preserving the mesh topology structure. In computer graphics, skeleton extraction and skeleton-driven animation is an active areas and gains increasing interests from researchers. The accuracy is critical for realistic animation and related applications. There have been extensive studies on skeleton based 3D deformation. However for the scenarios of large angle rotation of different body parts, it has been relatively less addressed by the state-of-the-art, which often yield unsatisfactory results. Besides 3D animation problems, we also notice for many 3D skeleton detection or tracking applications from a video or depth streams, large angle rotation is also a critical factor in the regression accuracy and robustness. We introduced a distortion metric function to quantify the surface curviness before and after deformation, which is a major clue for large angle rotation detection. The intensive experimental results show that our method is suitable for 3D modeling, animation, skeleton based tracking applications.
SkelGen4D: Weakly-Supervised Skeleton-Based 4D Generation for Text-Driven Mesh Animation
School of Data Science, Lingnan University（岭南大学数据科学学院）；Department of Computer Science and Engineering, Chinese University of Hong Kong（香港中文大学计算机科学与工程系）；Autodesk Research（Autodesk研究院）；Institute of Computer Applications, Shanghai Jiao Tong University（上海交通大学计算机应用研究所）
Follow Your Track: Precise Skeleton Animation Controlled by 3D Trajectories
School of Information Science and Technology, University of Science and Technology of China（中国科学技术大学信息科学技术学院）；State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), CASIA（多模态人工智能系统全国重点实验室（MAIS），中国科学院自动化研究所）；School of Artificial Intelligence, University of Chinese Academy of Sciences（中国科学院大学人工智能学院）
DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images
Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University（上海大学特种光纤与光接入网重点实验室）；Department of Computer Science, Johns Hopkins University（约翰斯·霍普金斯大学计算机科学系）；School of Electronic Information and Communications, Huazhong University of Science and Technology（华中科技大学电子信息与通信学院）
Skeleton Transformer Networks: 3D Human Pose and Skinned Mesh from Single RGB Image
National Institute of Advanced Industrial Science and Technology (AIST)（国立先进工业科学技术研究所（AIST））；CNRS-AIST JRL (Joint Robotics Laboratory), UMI3218/RL（法国国家科学研究中心-国立先进工业科学技术研究所联合机器人实验室（UMI3218/RL））
DreamWaltz-G: Expressive 3D Gaussian Avatars from Skeleton-Guided 2D Diffusion
The University of Hong Kong (HKU)（香港大学）；Astribot（星动科技）；Tencent（腾讯）；University of Science and Technology of China (USTC)（中国科学技术大学）；International Digital Economy Academy (IDEA)（国际数字经济学院）
Skeleton Ground Truth Extraction: Methodology, Annotation Tool and Benchmarks
Soochow University（苏州大学）；Jagiellonian University（雅盖隆大学）；Heriot-Watt University (Malaysia)（赫瑞-瓦特大学（马来西亚））；Clobotics（扩博智能）；Fraunhofer FIT（弗劳恩霍夫信息技术研究所）；University of Hospital of Cologne（科隆大学医院）；Southeast University（东南大学）；University of Lübeck（吕贝克大学）
Intelligent Vision and Sensing (IVS) Lab at SUNY Binghamton（SUNY布林茅伊大学智能视觉与感知实验室）；Yancheng Institute of Technology（盐城职业技术学院）；University of Georgia（佐治亚大学）
Cascaded multitask U-Net using topological loss for vessel segmentation and centerline extraction
Université de Reims Champagne Ardenne（兰斯香槟阿登大学）；Univ Lyon（里昂大学）；INSA-Lyon（里昂国立应用科学学院）；Université Claude Bernard Lyon 1（里昂第一大学）；UJM-Saint Etienne（圣埃蒂安大学）；CNRS（法国国家科学研究中心）；Inserm（法国国家健康与医学研究院）；CREATIS（CREATIS研究院）
What and Where: Modeling Skeletons from Semantic and Spatial Perspectives for Action Recognition
Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所）；University of Chinese Academy of Sciences（中国科学院大学）；CAS Center for Excellence in Brain Science and Intelligence Technology（中国科学院脑科学与智能技术卓越创新中心）
USDRL: Unified Skeleton-Based Dense Representation Learning with Multi-Grained Feature Decorrelation
Southeast University（东南大学）；Northwestern Polytechnical University（西北工业大学）；Tsinghua University（清华大学）；Nanjing University of Science and Technology（南京理工大学）
Skeleton-based Robust Registration Framework for Corrupted 3D Point Clouds
Engineering Research Center for Metallurgical Automation（冶金自动化工程研究中心）；Measurement Technology Ministry of Education, Wuhan University of Science（测量技术教育部武汉科技大学）；School of Information Management（信息管理学院）；Institute of Big Data（大数据研究院）；Digital Economy, Hubei University of Economics, Wuhan, 430205, China（数字经济，湖北经济学院，武汉，430205，中国）
