8 papers
SAP-Nav: Spatial Semantic Representation Meets Active Perception for Hierarchical Open-Vocabulary Object Navigation
Xuetong Pei, Jian Liu, Vidura Munasinghe +4
Hierarchical open-vocabulary object navigation (OVON) requires agents to follow free-form instructions that may specify targets through scene-, room-, region-, and instance-level c…
Pointer-CAD: Unifying B-Rep and Command Sequences via Pointer-based Edges & Faces Selection
Dacheng Qi, Chenyu Wang, Jingwei Xu +6
Constructing computer-aided design (CAD) models is labor-intensive but essential for engineering and manufacturing. Recent advances in Large Language Models (LLMs) have inspired th…
Dropping Anchor and Spherical Harmonics for Sparse-view Gaussian Splatting
Shuangkang Fang, I-Chao Shen, Xuanyang Zhang +5
Recent 3D Gaussian Splatting (3DGS) Dropout methods address overfitting under sparse-view conditions by randomly nullifying Gaussian opacities. However, we identify a neighbor comp…
WaterClear-GS: Optical-Aware Gaussian Splatting for Underwater Reconstruction and Restoration
Xinrui Zhang, Yufeng Wang, Shuangkang Fang +3
Underwater 3D reconstruction and appearance restoration are hindered by the complex optical properties of water, such as wavelength-dependent attenuation and scattering. Existing N…
Frequency Point Game Environment for UAVs via Expert Knowledge and Large Language Model
Jingpu Yang, Hang Zhang, Fengxian Ji +4
Unmanned Aerial Vehicles (UAVs) have made significant advancements in communication stability and security through techniques such as frequency hopping, signal spreading, and adapt…
MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh
Shuangkang Fang, I-Chao Shen, Yufeng Wang +6
We present MeshLLM, a novel framework that leverages large language models (LLMs) to understand and generate text-serialized 3D meshes. Our approach addresses key limitations in ex…