19 citations · 32 across the 36 of their papers we have counts for
12 papers · 1 filter
GroupForward: Building Referable 3D Scenes via Instance-Grouped Feed-Forward Gaussian Splatting
Qijian Tian, Zimeng Wu, Xuhong Wang +2
Simultaneously reconstructing and understanding 3D environments is essential for embodied agents. Toward this goal, feed-forward semantic 3D Gaussian Splatting (3DGS) efficiently c…
Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning
Yuqi Zhang, Yadan Luo, Xiangyu Sun +3
High-quality 3D scene assets are critical for embodied applications such as robotic manipulation, navigation, and simulation. Despite their strong object priors, recent single-imag…
JointEdit3D: Feed-Forward 3D Scene Editing in a Unified Latent Space
Xinnan Zhu, Ruijie Xu, Jiayu Ying +4
Existing 3D scene editing methods typically rely on per-scene optimization over explicit 3D representations or cascaded edit-and-reconstruct pipelines, resulting in high test-time…
TrackRef3D: Multi-View Consistent Track-then-Label for Open-World Referring Segmentation in 3D Gaussian Splatting
Yuyang Tan, Renhe Zhang, Hang Zhang +2
Referring 3D Gaussian Splatting (R3DGS), which utilizes natural language for 3D object segmentation, has emerged as a crucial capability for embodied AI. However, existing methods…
GSCompleter: A Distillation-Free Plugin for Metric-Aware 3D Gaussian Splatting Completion in Seconds
Ao Gao, Jingyu Gong, Xin Tan +3
3D Gaussian Splatting (3DGS) has revolutionized high-fidelity neural rendering with its explicit representation and efficiency. However, reconstructing scenes from sparse viewpoint…
World2Minecraft: Occupancy-Driven Simulated Scenes Construction
Lechao Zhang, Haoran Xu, Jingyu Gong +3
Embodied intelligence requires high-fidelity simulation environments to support perception and decision-making, yet existing platforms often suffer from data contamination and limi…
Memory Intelligence Agent
Jingyang Qiao, Weicheng Meng, Yu Cheng +6
Deep research agents (DRAs) integrate LLM reasoning with external tools. Memory systems enable DRAs to leverage historical experiences, which are essential for efficient reasoning…
DailyArt: Discovering Articulation from Single Static Images via Latent Dynamics
Hang Zhang, Qijian Tian, Jingyu Gong +4
Articulated objects are essential for embodied AI and world models, yet inferring their kinematics from a single closed-state image remains challenging because crucial motion cues…
Dialogue to Question Generation for Evidence-based Medical Guideline Agent Development
Zongliang Ji, Ziyang Zhang, Xincheng Tan +5
Evidence-based medicine (EBM) is central to high-quality care, but remains difficult to implement in fast-paced primary care settings. Physicians face short consultations, increasi…
S2GS: Streaming Semantic Gaussian Splatting for Online Scene Understanding and Reconstruction
Renhe Zhang, Yuyang Tan, Jingyu Gong +4
Existing offline feed-forward methods for joint scene understanding and reconstruction on long image streams often repeatedly perform global computation over an ever-growing set of…
Zero-Shot Robotic Manipulation via 3D Gaussian Splatting-Enhanced Multimodal Retrieval-Augmented Generation
Zilong Xie, Jingyu Gong, Xin Tan +2
Existing end-to-end approaches of robotic manipulation often lack generalization to unseen objects or tasks due to limited data and poor interpretability. While recent Multimodal L…
TPRU: Advancing Temporal and Procedural Understanding in Large Multimodal Models
Zhenkun Gao, Xuhong Wang, Xin Tan +1
Multimodal Large Language Models (MLLMs), particularly smaller, deployable variants, exhibit a critical deficiency in understanding temporal and procedural visual data, a bottlenec…