6 papers
SC-OmniGS: Self-Calibrating Omnidirectional Gaussian Splatting
Huajian Huang, Yingshu Chen, Longwei Li +4
360-degree cameras streamline data collection for radiance field 3D reconstruction by capturing comprehensive scene data. However, traditional radiance field methods do not address…
Localized Gaussian Splatting Editing with Contextual Awareness
Hanyuan Xiao, Yingshu Chen, Huajian Huang +4
Recent text-guided generation of individual 3D object has achieved great success using diffusion priors. However, these methods are not suitable for object insertion and replacemen…
360VOTS: Visual Object Tracking and Segmentation in Omnidirectional Videos
Yinzhe Xu, Huajian Huang, Yingshu Chen +1
Visual object tracking and segmentation in omnidirectional videos are challenging due to the wide field-of-view and large spherical distortion brought by 360° images. To alleviate…
StyleCity: Large-Scale 3D Urban Scenes Stylization
Yingshu Chen, Huajian Huang, Tuan-Anh Vu +2
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 an…
Advances in 3D Neural Stylization: A Survey
Yingshu Chen, Guocheng Shao, Ka Chun Shum +2
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 t…
Time-of-Day Neural Style Transfer for Architectural Photographs
Yingshu Chen, Tuan-Anh Vu, Ka-Chun Shum +2
Architectural photography is a genre of photography that focuses on capturing a building or structure in the foreground with dramatic lighting in the background. Inspired by recent…