all AI news
KAIST Researchers Introduce FaceCLIPNeRF: A Text-Driven Manipulation Pipeline of a 3D Face Using Deformable NeRF
MarkTechPost www.marktechpost.com
A crucial component of 3D digital human content improvements is the ability to manipulate 3D face representation easily. Although Neural Radiance Field (NeRF) has made significant progress in reconstructing 3D scenes, many of its manipulative techniques focus on rigid geometry or color manipulations, which need to be improved for jobs requiring fine-grained control over facial […]
The post KAIST Researchers Introduce FaceCLIPNeRF: A Text-Driven Manipulation Pipeline of a 3D Face Using Deformable NeRF appeared first on MarkTechPost.
3d scenes ai shorts applications artificial intelligence color computer vision digital digital human editors pick face focus geometry human human content machine learning manipulation nerf neural radiance field pipeline progress representation researchers staff tech news technology text