65 citations · 79 across the 13 of their papers we have counts for
6 papers · 1 filter
Guide3D: Create 3D Avatars from Text and Image Guidance
Yukang Cao, Yan-Pei Cao, Kai Han +2
Recently, text-to-image generation has exhibited remarkable advancements, with the ability to produce visually impressive results. In contrast, text-to-3D generation has not yet re…
RIGID: Recurrent GAN Inversion and Editing of Real Face Videos
Yangyang Xu, Shengfeng He, Kwan-Yee K. Wong +1
GAN inversion is indispensable for applying the powerful editability of GAN to real images. However, existing methods invert video frames individually often leading to undesired in…
HeadSculpt: Crafting 3D Head Avatars with Text
Xiao Han, Yukang Cao, Kai Han +5
Recently, text-guided 3D generative methods have made remarkable advancements in producing high-quality textures and geometry, capitalizing on the proliferation of large vision-lan…
ViCo: Plug-and-play Visual Condition for Personalized Text-to-image Generation
Shaozhe Hao, Kai Han, Shihao Zhao +1
Personalized text-to-image generation using diffusion models has recently emerged and garnered significant interest. This task learns a novel concept (e.g., a unique toy), illustra…
Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models
Shihao Zhao, Dongdong Chen, Yen-Chun Chen +4
Text-to-Image diffusion models have made tremendous progress over the past two years, enabling the generation of highly realistic images based on open-domain text descriptions. How…
CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery
Shaozhe Hao, Kai Han, Kwan-Yee K. Wong
We tackle the issue of generalized category discovery (GCD). GCD considers the open-world problem of automatically clustering a partially labelled dataset, in which the unlabelled…