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cs.CV2026
GuideCAD: A Lightweight Multimodal Framework for 3D CAD Model Generation via Prefix Embedding
Minseong Kim, Jinyeong Park, Sungho Park +1
Multi-modal approaches used for 3D CAD generation require substantial computational resources, necessitating efficient training. To address this, we propose GuideCAD, which leverag…
cs.CV2026
QATMA: Quantization-Aware Training with Multimodal Alignment for Open-Vocabulary Object Detection
Jinyeong Park, Donghwa Kang, Seunghwan An +4
Quantizing open-vocabulary object detection (OVOD) models reduces their memory and computational costs, but extremely low-bit quantization severely degrades both cross-modal (regio…
cs.CV2024
ContrastCAD: Contrastive Learning-based Representation Learning for Computer-Aided Design Models
Minseop Jung, Minseong Kim, Jibum Kim
The success of Transformer-based models has encouraged many researchers to learn CAD models using sequence-based approaches. However, learning CAD models is still a challenge, beca…