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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…
VividAnimator: An End-to-End Audio and Pose-driven Half-Body Human Animation Framework
Donglin Huang, Yongyuan Li, Tianhang Liu +4
Existing for audio- and pose-driven human animation methods often struggle with stiff head movements and blurry hands, primarily due to the weak correlation between audio and head…
MotionFlow:Learning Implicit Motion Flow for Complex Camera Trajectory Control in Video Generation
Guojun Lei, Chi Wang, Yikai Wang +3
Generating videos guided by camera trajectories poses significant challenges in achieving consistency and generalizability, particularly when both camera and object motions are pre…
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…