One printing company shares how it's taking a phased, step-by-step approach to AI implementation to reduce friction in ...
Abstract: Deep neural network (DNN) belongs to an important class of machine learning algorithms generally used to classify digital data in the form of image and speech recognition. The computational ...
Abstract: Metal additive manufacturing (AM), particularly laser powder bed fusion (LPBF), has emerged as a promising technology for rapidly producing intricate parts while minimizing material waste.
Welcome to the L2M repository! This is the official implementation of our ICCV'25 paper titled "Learning Dense Feature Matching via Lifting Single 2D Image to 3D Space". To enable training from single ...
This is the official implementation for Test-time Dynamic Image Fusion (NeurIPS 2024) by Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, and Qinghua Hu. The inherent challenge of image fusion lies in ...
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