50 citations · 244 across the 53 of their papers we have counts for
5 papers · 1 filter
3DStyle-Diffusion: Pursuing Fine-grained Text-driven 3D Stylization with 2D Diffusion Models
Haibo Yang, Yang Chen, Yingwei Pan +3
3D content creation via text-driven stylization has played a fundamental challenge to multimedia and graphics community. Recent advances of cross-modal foundation models (e.g., CLI…
ControlStyle: Text-Driven Stylized Image Generation Using Diffusion Priors
Jingwen Chen, Yingwei Pan, Ting Yao +1
Recently, the multimedia community has witnessed the rise of diffusion models trained on large-scale multi-modal data for visual content creation, particularly in the field of text…
Control3D: Towards Controllable Text-to-3D Generation
Yang Chen, Yingwei Pan, Yehao Li +2
Recent remarkable advances in large-scale text-to-image diffusion models have inspired a significant breakthrough in text-to-3D generation, pursuing 3D content creation solely from…
Transforming Radiance Field with Lipschitz Network for Photorealistic 3D Scene Stylization
Zicheng Zhang, Yinglu Liu, Congying Han +3
Recent advances in 3D scene representation and novel view synthesis have witnessed the rise of Neural Radiance Fields (NeRFs). Nevertheless, it is not trivial to exploit NeRF for t…
Modality-Agnostic Debiasing for Single Domain Generalization
Sanqing Qu, Yingwei Pan, Guang Chen +3
Deep neural networks (DNNs) usually fail to generalize well to outside of distribution (OOD) data, especially in the extreme case of single domain generalization (single-DG) that t…