Dacheng Qi — accepted AI-conference papers

2026

Pointer-CAD: Unifying B-Rep and Command Sequences via Pointer-based Edges & Faces Selection

Dacheng Qi, Chenyu Wang, Jingwei Xu, Tianzhe Chu, Zibo Zhao, Wen Liu +3

CVPR 2026

Constructing computer-aided design (CAD) models is labor-intensive but essential for engineering and manufacturing. Recent advances in Large Language Models (LLMs) have inspired the LLM-based CAD generation by representing CAD as command sequences. But these methods struggle in practical scenarios b

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2025

ASFC-NeRF: Large-Scale Scene Rendering with Adaptive Sampling and Feature-aware Compression

Xinrui Zhang, Yufeng Wang, Shuangkang Fang, Zesheng Wang, Huayu Zhang, Dacheng Qi +1

ICASSP 2025accepted

While significant progress has been made in large-scale scene representation using Neural Radiance Fields (NeRF), several limitations remain. For instance, most methods still rely on the original coarse-to-fine sampling strategy, leading to an inefficient rendering process. Additionally, to model la…

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