WANDR: Intention-guided Human Motion Generation
Markos Diomataris, Nikos Athanasiou, Omid Taheri, Xi Wang, Otmar Hilliges, Michael J. Black
2024年份
10顶会引用
摘要
a conditional Variational Auto-Encoder (c-VAE), which we train using the AMASS and CIRCLE datasets. We evaluate our method extensively and demonstrate its ability to generate natural and long-term motions that reach 3D goals and generalize to unseen goal locations. Our models and code are available for research purposes at wandr.is.tue.mpg.de.
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引用它的顶会 Paper10
- MotionHiFlow: Text-to-Motion via Hierarchical Flow MatchingHeng Li, Xiaotong Lin, Ling-An Zeng, Yulei Kang 等CVPR 2026 · 被引用 7 次
- MaskControl: Spatio-Temporal Control for Masked Motion SynthesisEkkasit Pinyoanuntapong, Muhammad Usama Saleem, Korrawe Karunratanakul, Pu Wang 等ICCV 2025 · 被引用 6 次
- ProjFlow: Projection Sampling with Flow Matching for Zero‑Shot Exact Spatial Motion ControlAkihisa Watanabe, Qing Yu, Edgar Simo-Serra, Kent FujiwaraCVPR 2026 · 被引用 6 次
- 3HANDS Dataset: Learning from Humans for Generating Naturalistic Handovers with Supernumerary Robotic LimbsArtin Saberpour Abadian, Yi-Chi Liao, Ata Otaran, Rishabh Dabral 等CHI 2025 · 被引用 2 次
- Primal: Physically Reactive and Interactive Motor Model for Avatar LearningYan Zhang, Yao Feng, Alpár Cseke, Nitin Saini 等ICCV 2025 · 被引用 1 次
它引用的顶会 Paper15
- AMASS: Archive of Motion Capture As Surface ShapesNaureen Mahmood, Nima Ghorbani, Nikolaus F. Troje, Gerard Pons-Moll 等ICCV 2019 · 被引用 1,784 次
- Action-Conditioned 3D Human Motion Synthesis with Transformer VAEMathis Petrovich, Michael J. Black, Gül VarolICCV 2021 · 被引用 672 次
- HuMoR: 3D Human Motion Model for Robust Pose EstimationDavis Rempe, Tolga Birdal, Aaron Hertzmann, Jimei Yang 等ICCV 2021 · 被引用 398 次
- AMP: adversarial motion priors for stylized physics-based character controlXue Bin Peng, Ze Ma, Pieter Abbeel, Sergey Levine 等SIGGRAPH 2021 · 被引用 392 次
- Stochastic Scene-Aware Motion PredictionMohamed Hassan, Duygu Ceylan, Ruben Villegas, Jun Saito 等ICCV 2021 · 被引用 240 次
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