Ruijie Lu (original) (raw)
| Ruijie Lu (陆睿杰) I'm currently a second-year Ph.D student at Peking University (PKU), supervised by Prof. Gang Zeng. Before that, I received by Bachelor's degree at Peking University in July 2023. My research interests lie in 3D Computer Vision, especially scene understanding, generation and reconstruction. Email / Google Scholar / Github |  |
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Research
| | 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. | |
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| 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. |
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| RoomTex: Texturing Compositional Indoor Scenes via Iterative Inpainting Qi Wang*,Ruijie Lu*,Xudong Xu,Jingbo Wang,Michael Yu Wang,Bo Dai,Gang Zeng,Dan Xu ECCV 2024 [Paper] [Code] [Project Page] We introduce RoomTex, which utilizes image inpainting to synthesize high-quality and style-consistent textures of multiple styles given scene meshes. |
| | Decompositional Neural Scene Reconstruction with Generative Diffusion Prior Junfeng Ni,Yu Liu, Ruijie Lu,Zirui Zhou,Song-Chun Zhu, Yixin Chen,Siyuan Huang CVPR 2025 [Paper] [Project Page] [Code] We introduce DP-Recon, a novel approach that distills off-the-shelf diffusion models for high-quality decompositional scene reconstruction from sparse view images. Further fine-grained editings are well supported. | |
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| Building Interactable Replicas of Complex Articulated Objects via Gaussian Splatting Yu Liu,Baoxiong Jia,Ruijie Lu,Junfeng Ni,Song-Chun Zhu,Siyuan Huang ICLR 2025 [Paper] [Project Page] [Code] We introduce ArtGS, a novel approach that leverages 3D Gaussians to reconstruct articulated objects from 2 states of RGBD images, which achieves state-of-the-art performance in joint parameter estimation and part mesh reconstruction. |
| | Superpoint Gaussian Splatting for Real-Time High-Fidelity Dynamic Scene Reconstruction Diwen Wan,Ruijie Lu,Gang Zeng, ICML 2024 [Paper] [Code] [Project Page] We introduce SP-GS, which utilizes superpoint to represent neighboring Gaussians with similar motion patterns for efficiency. | |
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| InTeX: Interactive Text-to-Texture Synthesis via Unified Depth-aware Inpainting Jiaxiang Tang,Ruijie Lu,Hang Zhou,Xiang Wen,Xiaokang Chen,Diwen Wan,Gang Zeng,Jingdong Wang,Ziwei Liu, arXiv [Paper] [Code] [Project Page] We introduce InTeX, which utilizes depth-aware inpainting to synthesize high-quality textures from text prompts for objects. |
Experience
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Peking University, China 2023.09 - now Ph.D. Student Advisor: Prof. Gang Zeng |
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Beijing Institute for General Artificial Intelligence (BIGAI), China 2023.12 - now Research Intern Advisor: Dr. Yixin Chen and Dr. Siyuan Huang |
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Shanghai Artificial Intelligence Laboratory, China 2023.06 - 2023.11 Research Intern Advisor: Dr. Xudong Xu and Dr. Jingbo Wang |
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Peking University, China 2019.09 - 2023.07 Undergraduate Student |