5 papers
Co-generation of Layout and Shape from Text via Autoregressive 3D Diffusion
Zhenggang Tang, Yuehao Wang, Yuchen Fan +9
Recent text-to-scene generation approaches largely reduced the manual efforts required to create 3D scenes. However, their focus is either to generate a scene layout or to generate…
Virtual Fitting Room: Generating Arbitrarily Long Videos of Virtual Try-On from a Single Image -- Technical Preview
Jun-Kun Chen, Aayush Bansal, Minh Phuoc Vo +1
We introduce the Virtual Fitting Room (VFR), a novel video generative model that produces arbitrarily long virtual try-on videos. Our VFR models long video generation tasks as an a…
Dress&Dance: Dress up and Dance as You Like It - Technical Preview
Jun-Kun Chen, Aayush Bansal, Minh Phuoc Vo +1
We present Dress&Dance, a video diffusion framework that generates high quality 5-second-long 24 FPS virtual try-on videos at 1152x720 resolution of a user wearing desired garments…
SceneCraft: Layout-Guided 3D Scene Generation
Xiuyu Yang, Yunze Man, Jun-Kun Chen +1
The creation of complex 3D scenes tailored to user specifications has been a tedious and challenging task with traditional 3D modeling tools. Although some pioneering methods have…
V2Edit: Versatile Video Diffusion Editor for Videos and 3D Scenes
Yanming Zhang, Jun-Kun Chen, Jipeng Lyu +1
This paper introduces VEdit, a novel training-free framework for instruction-guided video and 3D scene editing. Addressing the critical challenge of balancing original content…