1 citations · 1 across the 6 of their papers we have counts for
6 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…
Graph Canvas for Controllable 3D Scene Generation
Libin Liu, Shen Chen, Sen Jia +6
Spatial intelligence is foundational to AI systems that interact with the physical world, particularly in 3D scene generation and spatial comprehension. Current methodologies for 3…
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…
ScalingGaussian: Enhancing 3D Content Creation with Generative Gaussian Splatting
Shen Chen, Jiale Zhou, Zhongyu Jiang +4
The creation of high-quality 3D assets is paramount for applications in digital heritage preservation, entertainment, and robotics. Traditionally, this process necessitates skilled…