9 papers
DKDS: A Benchmark Dataset of Degraded Kuzushiji Documents with Seals for Detection and Binarization
Rui-Yang Ju, Kohei Yamashita, Hirotaka Kameko +1
Kuzushiji, a pre-modern Japanese cursive script, can currently be read and understood by only a few thousand trained experts in Japan. With the rapid development of deep learning,…
GlassesGB: Controllable 2D GAN-Based Eyewear Personalization for 3D Gaussian Blendshapes Head Avatars
Rui-Yang Ju, Jen-Shiun Chiang
Virtual try-on systems allow users to interactively try different products within VR scenarios. However, most existing VTON methods operate only on predefined eyewear templates and…
ToonifyGB: StyleGAN-based Gaussian Blendshapes for 3D Stylized Head Avatars
Rui-Yang Ju, Sheng-Yen Huang, Yi-Ping Hung
The introduction of 3D Gaussian blendshapes has enabled the real-time reconstruction of animatable head avatars from monocular video. Toonify, a StyleGAN-based method, has become w…
ORB-SfMLearner: ORB-Guided Self-supervised Visual Odometry with Selective Online Adaptation
Yanlin Jin, Rui-Yang Ju, Haojun Liu +1
Deep visual odometry, despite extensive research, still faces limitations in accuracy and generalizability that prevent its broader application. To address these challenges, we pro…
MFE-GAN: Efficient GAN-based Framework for Document Image Enhancement and Binarization with Multi-scale Feature Extraction
Rui-Yang Ju, KokSheik Wong, Yanlin Jin +1
Document image enhancement and binarization are commonly performed prior to document analysis and recognition tasks for improving the efficiency and accuracy of optical character r…
Efficient Generative Adversarial Networks for Color Document Image Enhancement and Binarization Using Multi-scale Feature Extraction
Rui-Yang Ju, KokSheik Wong, Jen-Shiun Chiang
The outcome of text recognition for degraded color documents is often unsatisfactory due to interference from various contaminants. To extract information more efficiently for text…