3 papers
cs.CV2026
3D Oral Modelling with Improved Vertex Distribution Using Matching-Based Learning
Jihun Cho, Soo-Yeon Jeong, Eun-Jeong Bae +1
In our previous work, a deep learning-based framework for 3D intraoral reconstruction was proposed. The model directly predicts explicit 3D point cloud coordinates from ten fixed-a…
cs.CV2026
Emotion-Aware Image Generation from Korean Diary Text via LLM-based Prompt Translation and LoRA Fine-Tuning
Jihun Cho, Soo-Yeon Jeong, Sun-Young Ihm
T2I models cannot effectively capture sentiment from various types of text, including diaries, as they primarily focus on visual object-related patterns rather than contextual emot…
cs.CV2026
Deep Learning-based 3D Oral Cavity Reconstruction Using 2D Intraoral Images
Jihun Cho, Soo-Yeon Jeong, Eun-Jeong Bae +1
Oral 3D modelling is one of the most essential stages in dentistry, and many different approaches, such as impression taking and intraoral scanning, are commonly used for this phas…