no code implementations • 16 Apr 2024 • Yingshu Chen, Huajian Huang, Tuan-Anh Vu, Ka Chun Shum, Sai-Kit Yeung
We then optimize the scene style globally by adapting the scale of the style image with the scale of the training views.
1 code implementation • 30 Nov 2023 • Yingshu Chen, Guocheng Shao, Ka Chun Shum, Binh-Son Hua, Sai-Kit Yeung
Building on such taxonomy, our survey first revisits the background of neural stylization on 2D images, and then provides in-depth discussions on recent neural stylization methods for 3D data, where we also provide a mini-benchmark on artistic stylization methods.
1 code implementation • 20 Sep 2023 • Ka Chun Shum, Jaeyeon Kim, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung
Specifically, to insert a new foreground object represented by a set of multi-view images into a background radiance field, we use a text-to-image diffusion model to learn and generate combined images that fuse the object of interest into the given background across views.
no code implementations • ICCV 2023 • Ka Chun Shum, Hong-Wing Pang, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung
We use this object layout to condition a generative adversarial network to synthesize images of an input scene.