1 citations · 1 across the 8 of their papers we have counts for
4 papers · 1 filter
SLGaussian: Fast Language Gaussian Splatting in Sparse Views
Kangjie Chen, BingQuan Dai, Minghan Qin +4
3D semantic field learning is crucial for applications like autonomous navigation, AR/VR, and robotics, where accurate comprehension of 3D scenes from limited viewpoints is essenti…
UniScene: Unified Occupancy-centric Driving Scene Generation
Bohan Li, Jiazhe Guo, Hongsi Liu +14
Generating high-fidelity, controllable, and annotated training data is critical for autonomous driving. Existing methods typically generate a single data form directly from a coars…
TranSplat: Generalizable 3D Gaussian Splatting from Sparse Multi-View Images with Transformers
Chuanrui Zhang, Yingshuang Zou, Zhuoling Li +2
Compared with previous 3D reconstruction methods like Nerf, recent Generalizable 3D Gaussian Splatting (G-3DGS) methods demonstrate impressive efficiency even in the sparse-view se…
MDepth: Self-supervised Two-Frame Multi-camera Metric Depth Estimation
Yingshuang Zou, Yikang Ding, Xi Qiu +2
This paper presents a novel self-supervised two-frame multi-camera metric depth estimation network, termed MDepth, which is designed to predict reliable scale-aware surroundi…