3D Style Transfer

3D style transfer aims to apply the artistic style of a 2D image to a 3D scene, creating stylized 3D renderings. Current research focuses on efficient and generalizable methods, often leveraging neural radiance fields (NeRFs) or Gaussian splatting for scene representation, and incorporating diffusion models or hypernetworks for style transfer. These advancements enable faster processing, improved multi-view consistency, and finer control over the stylization process, including object-specific or semantic-aware style application. This field holds significant potential for enhancing creative content generation, virtual and augmented reality experiences, and applications in fields like digital art and heritage preservation.