7 papers
CasaMaestro: Multi-View Panoramas for House-Scale 3D Reconstruction
Yuzhou Ji, Xiaotian Yang, Zhipeng Zhang
The rise of home-deployed embodied AI systems is driving a growing need for fast, metric 3D reconstruction of residential spaces to support navigation, interaction, and long-horizo…
SurroundNEXO: Ego-Centric Metric Bridging for Spatially Consistent Geometry in Autonomous Driving
Shuai Yuan, Runxi Tang, Yuzhou Ji +8
Modern autonomous driving depends on accurate metric 3D understanding for perception, reconstruction, and planning, which in turn requires reliable multi-camera depth prediction. H…
MUSE: Agentic 3D Scene Authoring via Memory-Grounded Incremental Requirement Satisfaction
Ruijie Xu, Xinnan Zhu, Jiayu Ying +3
Text-driven 3D scene generation is a promising technique for digital content creation, embodied AI simulation, and interactive design, yet practical workflows often require refinin…
S2D: Sparse to Dense Lifting for 3D Reconstruction with Minimal Inputs
Yuzhou Ji, Qijian Tian, He Zhu +5
Explicit 3D representations have already become an essential medium for 3D simulation and understanding. However, the most commonly used point cloud and 3D Gaussian Splatting (3DGS…
LidarPainter: One-Step Away From Any Lidar View To Novel Guidance
Yuzhou Ji, Ke Ma, Hong Cai +3
Dynamic driving scene reconstruction is of great importance in fields like digital twin system and autonomous driving simulation. However, unacceptable degradation occurs when the…
FMLGS: Fast Multilevel Language Embedded Gaussians for Part-level Interactive Agents
Xin Tan, Yuzhou Ji, He Zhu +1
The semantically interactive radiance field has long been a promising backbone for 3D real-world applications, such as embodied AI to achieve scene understanding and manipulation.…
FastLGS: Speeding up Language Embedded Gaussians with Feature Grid Mapping
Yuzhou Ji, He Zhu, Junshu Tang +4
The semantically interactive radiance field has always been an appealing task for its potential to facilitate user-friendly and automated real-world 3D scene understanding applicat…