3 papers
cs.CV2025
DropoutGS: Dropping Out Gaussians for Better Sparse-view Rendering
Yexing Xu, Longguang Wang, Minglin Chen +3
Although 3D Gaussian Splatting (3DGS) has demonstrated promising results in novel view synthesis, its performance degrades dramatically with sparse inputs and generates undesirable…
cs.CV2025
Progressive Correspondence Regenerator for Robust 3D Registration
Guiyu Zhao, Sheng Ao, Ye Zhang +2
Obtaining enough high-quality correspondences is crucial for robust registration. Existing correspondence refinement methods mostly follow the paradigm of outlier removal, which ei…
cs.CV2025
Layout2Scene: 3D Semantic Layout Guided Scene Generation via Geometry and Appearance Diffusion Priors
Minglin Chen, Longguang Wang, Sheng Ao +3
3D scene generation conditioned on text prompts has significantly progressed due to the development of 2D diffusion generation models. However, the textual description of 3D scenes…