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Found 2 papers, 1 papers with code
CLIP-Actor: Text-Driven Recommendation and Stylization for Animating Human Meshes
Then, our novel zero-shot neural style optimization detailizes and texturizes the recommended mesh sequence to conform to the prompt in a temporally-consistent and pose-agnostic manner.
Unified 3D Mesh Recovery of Humans and Animals by Learning Animal Exercise
To make the unstable disjoint multi-task learning jointly trainable, we propose to exploit the morphological similarity between humans and animals, motivated by animal exercise where humans imitate animal poses.
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