Aug 2026· Computer graphics forum (Print)· Vol 45· 0 citations· 21 references
Computer Science
TL;DR
This work introduces stylized phase manifolds—a compact, interpretable latent representation that disentangles motion content, the temporal structure, and style and develops a diffusion‐based motion generator that enables fine‐grained control over semantic, temporal, and stylistic aspects of motion.
Abstract
We introduce stylized phase manifolds—a compact, interpretable latent representation that disentangles motion content (e.g. “jumping”, “walking”), the temporal structure (e.g. motion cycle frequency, gait timing), and style (i.e. how the motion is performed). Learned in an unsupervised manner and inherently low‐dimensional, the manifold offers intuitive and flexible editing. Building on this representation, we develop a diffusion‐based motion generator that enables fine‐grained control over semantic, temporal, and stylistic aspects of motion. To connect high‐level intent with low‐level motion, we treat the stylized manifold as an intermediate representation—a structured bridge between natural language and motion. By first mapping text into this manifold, our two‐stage pipeline improves the control over for text‐based motion generation, while producing high‐quality, diverse motion outputs.
Motion warping is a core technique in character animation that enables the adaptation of existing motion data to novel spatio-temporal constraints. Conventional motion warping methods often rely on heuristic modifications that can violate physical consistency or introduce visual artifacts. More recent learning-based ed...
Bowen Zheng, Linjun Wu, Xinwei Jiang et al.· International Conference on...· 0 citations
ARDY is introduced, a streaming generation framework that bridges this gap by enabling high-fidelity motion generation controllable via online text prompts and flexible kinematic constraints and balancing precise trajectory control with efficient generative learning.
Kaifeng Zhao, Mathis Petrovich, Haotian Zhang et al.· ACM Transactions on Graphics· 2 citations
ACT is introduced, a unified generative framework that reformulates rigging and animation not as independent tasks, but as complementary views of a single hyper-kinematic process, offering a versatile and efficient solution for automating 3D character animation.
Pengyu Long, Weirui Wang, Qingcheng Zhao et al.· ACM Transactions on Graphics· 0 citations
A unified spatiotemporally decoupled framework named DeMoDiff is proposed, which jointly redesigns representation and architecture and incorporates spatial-temporal masking and attention mechanisms into an autoregressive diffusion generator, achieving both generative capability and controllable editability.
Cheng-Qun Yang, Liang Xu, Yan-Ping Li et al.· 0 citations
This work builds a bidirectional control flow between the style and the content, also adjusting the style towards the content, in which case the style-content collision is alleviated and the dynamics of the style is better preserved in the integration.
Zhe Li, Yisheng He, Lei Zhong et al.· arXiv.org· 0 citations
Video motion transfer aims to animate a target object using dynamics from a reference video. Existing formulations largely rely on fixed structural correspondence, which becomes ill-defined when reference and target objects differ substantially in morphology, articulation, or deformation mechanisms. We introduce Motion...
Zhixue Fang, Zhimin Zhang, Bi'an Du et al.· 0 citations
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