5 papers
PSGS: Text-driven Panorama Sliding Scene Generation via Gaussian Splatting
Xin Zhang, Shen Chen, Jiale Zhou +1
Generating realistic 3D scenes from text is crucial for immersive applications like VR, AR, and gaming. While text-driven approaches promise efficiency, existing methods suffer fro…
Causal Reasoning Elicits Controllable 3D Scene Generation
Shen Chen, Ruiyu Zhao, Jiale Zhou +3
Existing 3D scene generation methods often struggle to model the complex logical dependencies and physical constraints between objects, limiting their ability to adapt to dynamic a…
Mind2Matter: Creating 3D Models from EEG Signals
Xia Deng, Shen Chen, Jiale Zhou +1
The reconstruction of 3D objects from brain signals has gained significant attention in brain-computer interface (BCI) research. Current research predominantly utilizes functional…
Dense Point Clouds Matter: Dust-GS for Scene Reconstruction from Sparse Viewpoints
Shan Chen, Jiale Zhou, Lei Li
3D Gaussian Splatting (3DGS) has demonstrated remarkable performance in scene synthesis and novel view synthesis tasks. Typically, the initialization of 3D Gaussian primitives reli…
Optimizing 3D Gaussian Splatting for Sparse Viewpoint Scene Reconstruction
Shen Chen, Jiale Zhou, Lei Li
3D Gaussian Splatting (3DGS) has emerged as a promising approach for 3D scene representation, offering a reduction in computational overhead compared to Neural Radiance Fields (NeR…