8 citations · 17 across the 7 of their papers we have counts for
10 papers
Improving Text-guided Object Inpainting with Semantic Pre-inpainting
Yifu Chen, Jingwen Chen, Yingwei Pan +4
Recent years have witnessed the success of large text-to-image diffusion models and their remarkable potential to generate high-quality images. The further pursuit of enhancing the…
DreamMesh: Jointly Manipulating and Texturing Triangle Meshes for Text-to-3D Generation
Haibo Yang, Yang Chen, Yingwei Pan +5
Learning radiance fields (NeRF) with powerful 2D diffusion models has garnered popularity for text-to-3D generation. Nevertheless, the implicit 3D representations of NeRF lack expl…
TRIP: Temporal Residual Learning with Image Noise Prior for Image-to-Video Diffusion Models
Zhongwei Zhang, Fuchen Long, Yingwei Pan +4
Recent advances in text-to-video generation have demonstrated the utility of powerful diffusion models. Nevertheless, the problem is not trivial when shaping diffusion models to an…
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…