6 papers
HetScene: Heterogeneity-Aware Diffusion for Dense Indoor Scene Generation
Zini Chen, Junming Huang, Rong Zhang +4
Generating controllable and physically plausible indoor scenes is a pivotal prerequisite for constructing high-fidelity simulation environments for embodied AI. However, existing d…
FashionMAC: Deformation-Free Fashion Image Generation with Fine-Grained Model Appearance Customization
Rong Zhang, Jinxiao Li, Jingnan Wang +6
Garment-centric fashion image generation aims to synthesize realistic and controllable human models dressing a given garment, which has attracted growing interest due to its practi…
UniTransfer: Video Concept Transfer via Progressive Spatial and Timestep Decomposition
Guojun Lei, Rong Zhang, Chi Wang +4
We propose a novel architecture UniTransfer, which introduces both spatial and diffusion timestep decomposition in a progressive paradigm, achieving precise and controllable video…
Fine-Grained Controllable Apparel Showcase Image Generation via Garment-Centric Outpainting
Rong Zhang, Jingnan Wang, Zhiwen Zuo +5
In this paper, we propose a novel garment-centric outpainting (GCO) framework based on the latent diffusion model (LDM) for fine-grained controllable apparel showcase image generat…
AnimateAnything: Consistent and Controllable Animation for Video Generation
Guojun Lei, Chi Wang, Hong Li +3
We present a unified controllable video generation approach AnimateAnything that facilitates precise and consistent video manipulation across various conditions, including camera t…
Text-Driven Diverse Facial Texture Generation via Progressive Latent-Space Refinement
Chi Wang, Junming Huang, Rong Zhang +5
Automatic 3D facial texture generation has gained significant interest recently. Existing approaches may not support the traditional physically based rendering pipeline or rely on…