RigGS: Rigging of 3D Gaussians for Modeling Articulated Objects in Videos
Yuxin Yao, Zhi Deng, Junhui Hou
2025年份
3顶会引用
摘要
github.io/RigGS.html Figure 1. RigGS is a new and effective paradigm for automatically modeling articulated objects from 2D videos without any template prior. RigGS allows for easy editing and interpolation of object motion while supporting high-quality real-time rendering for these creative poses. We visualize the constructed skeleton (top-left), skinning weights (top-right), and edited new poses (bottom) for each object.
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引用它的顶会 Paper3
- Puppeteer: Rig and Animate Your 3D ModelsChaoyue Song, Xiu Li, Fan Yang, Zhongcong Xu 等NeurIPS 2025 · 被引用 48 次
- SV-GS: Sparse View 4D Reconstruction with Skeleton-Driven Gaussian SplattingJun-Jee Chao, Volkan IslerCVPR 2026 · 被引用 1 次
- LAM: Language Articulated Object ModelersYipeng Gao, Yunhao Ge, Peilin Cai, Daniel Seita 等CVPR 2026
它引用的顶会 Paper20
- 3D Gaussian Splatting for Real-Time Radiance Field RenderingBernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, George DrettakisSIGGRAPH 2023 · 被引用 5,687 次
- NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view ReconstructionPeng Wang, Lingjie Liu, Yuan Liu, Christian Theobalt 等NeurIPS 2021 · 被引用 2,500 次
- 4D Gaussian Splatting for Real-Time Dynamic Scene RenderingGuanjun Wu, Taoran Yi, Jiemin Fang, Lingxi Xie 等CVPR 2024 · 被引用 513 次
- Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene ReconstructionZiyi Yang, Xinyu Gao, Wen Zhou, Shaohui Jiao 等CVPR 2024 · 被引用 302 次
- SelfRecon: Self Reconstruction Your Digital Avatar from Monocular VideoBoyi Jiang, Yang Hong, Hujun Bao, Juyong ZhangCVPR 2022 · 被引用 142 次
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