8 citations · 15 across the 3 of their papers we have counts for
3 papers
eess.IV2025
Memory-Efficient Super-Resolution of 3D Micro-CT Images Using Octree-Based GANs: Enhancing Resolution and Segmentation Accuracy
Evgeny Ugolkov, Xupeng He, Hyung Kwak +1
We present a memory-efficient algorithm for significantly enhancing the quality of segmented 3D micro-Computed Tomography (micro-CT) images of rocks using a generative model. The p…
cs.CV2023★ 7 cited
Zero-Shot Digital Rock Image Segmentation with a Fine-Tuned Segment Anything Model
Zhaoyang Ma, Xupeng He, Shuyu Sun +3
Accurate image segmentation is crucial in reservoir modelling and material characterization, enhancing oil and gas extraction efficiency through detailed reservoir models. This pre…
cs.CV2023★ 8 cited
Enhancing Rock Image Segmentation in Digital Rock Physics: A Fusion of Generative AI and State-of-the-Art Neural Networks
Zhaoyang Ma, Xupeng He, Hyung Kwak +3
In digital rock physics, analysing microstructures from CT and SEM scans is crucial for estimating properties like porosity and pore connectivity. Traditional segmentation methods…