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Template-free Articulated Gaussian Splatting for Real-time Reposable Dynamic View Synthesis
Diwen Wan, Yuxiang Wang, Ruijie Lu +1
While novel view synthesis for dynamic scenes has made significant progress, capturing skeleton models of objects and re-posing them remains a challenging task. To tackle this prob…
MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes
Ruijie Lu, Yixin Chen, Junfeng Ni +5
Repurposing pre-trained diffusion models has been proven to be effective for NVS. However, these methods are mostly limited to a single object; directly applying such methods to co…
Superpoint Gaussian Splatting for Real-Time High-Fidelity Dynamic Scene Reconstruction
Diwen Wan, Ruijie Lu, Gang Zeng
Rendering novel view images in dynamic scenes is a crucial yet challenging task. Current methods mainly utilize NeRF-based methods to represent the static scene and an additional t…
RoomTex: Texturing Compositional Indoor Scenes via Iterative Inpainting
Qi Wang, Ruijie Lu, Xudong Xu +5
The advancement of diffusion models has pushed the boundary of text-to-3D object generation. While it is straightforward to composite objects into a scene with reasonable geometry,…
InTeX: Interactive Text-to-texture Synthesis via Unified Depth-aware Inpainting
Jiaxiang Tang, Ruijie Lu, Xiaokang Chen +3
Text-to-texture synthesis has become a new frontier in 3D content creation thanks to the recent advances in text-to-image models. Existing methods primarily adopt a combination of…