AMT-Net: Adversarial Motion Transfer Network With Disentangled Shape and Pose for Realistic Image Animation
Computer vision advancements allow motion transfer for animating static objects in images. However, current methods rely on manually collected motion labels and struggle with accurate shape and pose representation, particularly for human bodies, due to occlusions and background variations. Thus, we...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11007652/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|