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Found 4 papers, 3 papers with code
AttT2M: Text-Driven Human Motion Generation with Multi-Perspective Attention Mechanism
The latter is from the cross-modal perspective, which is used to learn the sentence-level and word-level motion-text cross-modal relationship.
Ranked #9 on
Motion Synthesis
on HumanML3D
Unpaired Multi-domain Attribute Translation of 3D Facial Shapes with a Square and Symmetric Geometric Map
We propose a learning framework for 3D facial attribute translation to relieve these limitations.
Pose-aware Attention Network for Flexible Motion Retargeting by Body Part
Moreover, we also show that our framework can generate reasonable results even for a more challenging retargeting scenario, like retargeting between bipedal and quadrupedal skeletons because of the body part retargeting strategy and PAN.
Spatio-Temporal Gating-Adjacency GCN for Human Motion Prediction
However, considering the variants and diverse action types in human motion data, the cross-dependency of the spatio-temporal relationships will be difficult to depict due to the decoupled modeling strategy, which may also exacerbate the problem of insufficient generalization.
