23 citations · 26 across the 3 of their papers we have counts for
4 papers
M3DM-NR: RGB-3D Noisy-Resistant Industrial Anomaly Detection via Multimodal Denoising
Chengjie Wang, Haokun Zhu, Jinlong Peng +5
Existing industrial anomaly detection methods primarily concentrate on unsupervised learning with pristine RGB images. Yet, both RGB and 3D data are crucial for anomaly detection,…
SAMVG: A Multi-stage Image Vectorization Model with the Segment-Anything Model
Haokun Zhu, Juang Ian Chong, Teng Hu +3
Vector graphics are widely used in graphical designs and have received more and more attention. However, unlike raster images which can be easily obtained, acquiring high-quality v…
Stroke-based Neural Painting and Stylization with Dynamically Predicted Painting Region
Teng Hu, Ran Yi, Haokun Zhu +5
Stroke-based rendering aims to recreate an image with a set of strokes. Most existing methods render complex images using an uniform-block-dividing strategy, which leads to boundar…
Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption
Teng Hu, Jiangning Zhang, Liang Liu +7
Training a generative model with limited number of samples is a challenging task. Current methods primarily rely on few-shot model adaption to train the network. However, in scenar…