4 papers
NanoGS: Training-Free Gaussian Splat Simplification
Butian Xiong, Rong Liu, Tiantian Zhou +3
3D Gaussian Splat (3DGS) enables high-fidelity, real-time novel view synthesis by representing scenes with large sets of anisotropic primitives, but often requires millions of Spla…
IDU: Incremental Dynamic Update of Existing 3D Virtual Environments with New Imagery Data
Meida Chen, Luis Leal, Yue Hu +5
For simulation and training purposes, military organizations have made substantial investments in developing high-resolution 3D virtual environments through extensive imaging and 3…
Splat Feature Solver
Butian Xiong, Rong Liu, Kenneth Xu +2
Feature lifting has emerged as a crucial component in 3D scene understanding, enabling the attachment of rich image feature descriptors (e.g., DINO, CLIP) onto splat-based 3D repre…
BYOCL: Build Your Own Consistent Latent with Hierarchical Representative Latent Clustering
Jiayue Dai, Yunya Wang, Yihan Fang +2
To address the semantic inconsistency issue with SAM or other single-image segmentation models handling image sequences, we introduce BYOCL. This novel model outperforms SAM in ext…