Abstract: Code Large Language Models (CodeLLMs) have demonstrated impressive proficiency in code completion tasks. However, they often fall short of fully understanding the extensive context of a ...
Paper: Graph Representation of 3D CAD Models for Machining Feature Recognition With Deep Learning The MFCAD (Machining Feature CAD) dataset is a comprehensive collection of 3D CAD models with labeled ...
Our DiET-GS++ enables high quality novel-view synthesis with recovering precise color and well-defined details from the blurry multi-view images. [2025/02/27] DiET-GS is accepted to CVPR 2025 🔥. The ...
Abstract: 3D Scene Graphs integrate both metric and semantic information, yet their structure remains underexploited for improving path planning efficiency and interpretability. In this work, we ...
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