Recent diffusion model advancements have enabled high-fidelity images to be generated
using text prompts. However, a domain gap exists between generated images and real …

3D Gaussians have recently emerged as an efficient representation for novel view synthesis.
This work studies its editability with a particular focus on the inpainting task, which aims to …

As XR technology continues to advance rapidly, 3D generation and editing are increasingly
crucial. Among these, stylization plays a key role in enhancing the appearance of 3D …

Shape and geometric patterns are essential in defining stylistic identity. However current 3D
style transfer methods predominantly focus on transferring colors and textures often …

Current 3D stylization methods often assume static scenes which violates the dynamic
nature of our real world. To address this limitation we present S-DyRF a reference-based …

Creating large-scale virtual urban scenes with variant styles is inherently challenging. To
facilitate prototypes of virtual production and bypass the need for complex materials and …

While style transfer techniques have been well-developed for 2D image stylization, the
extension of these methods to 3D scenes remains relatively unexplored. Existing …

Referenced-based scene stylization that edits the appearance based on a content-aligned
reference image is an emerging research area. Starting with a pretrained neural radiance …

Modern artificial intelligence offers a novel and transformative approach to creating digital
art across diverse styles and modalities like images, videos and 3D data, unleashing the …

We present our method for transferring style from any arbitrary image (s) to object (s) within a
3D scene. Our primary objective is to offer more control in 3D scene stylization, facilitating …