1 citations · 1 across the 5 of their papers we have counts for
6 papers
A 3D Generation Framework from Cross Modality to Parameterized Primitive
Yiming Liang, Huan Yu, Zili Wang +4
Recent advancements in AI-driven 3D model generation have leveraged cross modality, yet generating models with smooth surfaces and minimizing storage overhead remain challenges. Th…
CAD-Judge: Toward Efficient Morphological Grading and Verification for Text-to-CAD Generation
Zheyuan Zhou, Jiayi Han, Liang Du +3
Computer-Aided Design (CAD) models are widely used across industrial design, simulation, and manufacturing processes. Text-to-CAD systems aim to generate editable, general-purpose…
DSOcc: Leveraging Depth Awareness and Semantic Aid to Boost Camera-Based 3D Semantic Occupancy Prediction
Naiyu Fang, Zheyuan Zhou, Kang Wang +5
Camera-based 3D semantic occupancy prediction offers an efficient and cost-effective solution for perceiving surrounding scenes in autonomous driving. However, existing works rely…
R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection
Zheyuan Zhou, Le Wang, Naiyu Fang +3
3D anomaly detection plays a crucial role in monitoring parts for localized inherent defects in precision manufacturing. Embedding-based and reconstruction-based approaches are amo…
A Novel Garment Transfer Method Supervised by Distilled Knowledge of Virtual Try-on Model
Naiyu Fang, Lemiao Qiu, Shuyou Zhang +3
This paper proposes a novel garment transfer method supervised with knowledge distillation from virtual try-on. Our method first reasons the transfer parsing to provide shape prior…
GSDC Transformer: An Efficient and Effective Cue Fusion for Monocular Multi-Frame Depth Estimation
Naiyu Fang, Lemiao Qiu, Shuyou Zhang +3
Depth estimation provides an alternative approach for perceiving 3D information in autonomous driving. Monocular depth estimation, whether with single-frame or multi-frame inputs,…