Currently, I'm a third-year Ph.D student at Peking University (PKU), supervised by Prof. Gang Zeng.
Before that, I received my Bachelor's degree at Peking University in July 2023.
My research interests lie in multimodal understanding and generation, while I also have a background in 3D vision.
DreamArt: Generating Interactable Articulated Objects from a Single Image Ruijie Lu,
Yu Liu,
Jiaxiang Tang,
Junfeng Ni,
Yuxiang Wang,
Diwen Wan,
Gang Zeng,
Yixin Chen,
Siyuan Huang SIGGRAPH Asia 2025
[Paper][Project Page]
We introduce DreamArt, a three-stage pipeline for generating interactable articulated assets from a single image, comprising part-segmented mesh generation, articulation video generation, and articulated asset construction.
TACO: Taming Diffusion for in-the-wild Video Amodal Completion Ruijie Lu,
Yixin Chen,
Yu Liu,
Jiaxiang Tang,
Junfeng Ni,
Diwen Wan,
Gang Zeng,
Siyuan Huang ICCV 2025
[Paper][Code][Data][Project Page]
We introduce TACO, which repurposes pre-trained video diffusion models for Video Amodal Completion (VAC), facilitating downstream tasks like reconstruction. The key insight lies in the data curation and progressive training strategy.
MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Ruijie Lu*,
Yixin Chen*,
Junfeng Ni,
Baoxiong Jia,
Yu Liu,
Diwen Wan,
Gang Zeng,
Siyuan Huang CVPR 2025
[Paper][Code][Data][Project Page]
We introduce MOVIS, which repurposes pre-trained diffusion models for multi-object level novel view synthesis (NVS) in indoor scenes. The key insight lies in incorporating a structure-aware noise scheduler and an auxiliary mask prediction task under novel views.