2 papers
cs.CV2025
DreamScene: 3D Gaussian-based End-to-end Text-to-3D Scene Generation
Haoran Li, Yuli Tian, Kun Lan +4
Generating 3D scenes from natural language holds great promise for applications in gaming, film, and design. However, existing methods struggle with automation, 3D consistency, and…
cs.CV2023
2D-Guided 3D Gaussian Segmentation
Kun Lan, Haoran Li, Haolin Shi +4
Recently, 3D Gaussian, as an explicit 3D representation method, has demonstrated strong competitiveness over NeRF (Neural Radiance Fields) in terms of expressing complex scenes and…