Search Results for author:
Found 5 papers, 3 papers with code
VirtualModel: Generating Object-ID-retentive Human-object Interaction Image by Diffusion Model for E-commerce Marketing
Due to the significant advances in large-scale text-to-image generation by diffusion model (DM), controllable human image generation has been attracting much attention recently.
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 #10 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.
