In today’s fast-paced business environment, efficiency is paramount. Organizations are increasingly turning to AI workflow …
Read More »SSGaussian: Semantic-Aware and Structure-Preserving 3D Style Transfer
arXiv:2509.04379v1 Announce Type: cross Abstract: Recent advancements in neural representations, such as Neural Radiance Fields and 3D Gaussian Splatting, have increased interest in applying style transfer to 3D scenes. While existing methods can transfer style patterns onto 3D-consistent neural representations, they struggle to effectively extract and transfer high-level style semantics from the reference style image. Additionally, the stylized results often …
Read More »