Abstract: Unsupervised domain adaptation (UDA) frameworks have shown good generalization capabilities for 3D point cloud semantic segmentation models on clean data. However, existing works overlook ...
Abstract: Open-Vocabulary 3D segmentation assigns semantic labels to 3D scenes from free-form text prompts. Many approaches fuse multi-view 2D embeddings into a 3D representation, but performance ...
If you want smooth top surfaces on your 3D printed parts, a common technique is to turn on ironing in your slicer. This causes the head to drag through the top of the part, emitting a small amount of ...
Aiming at the problems of intensity inhomogeneity, boundary blurring and noise interference in the segmentation of three-dimensional volume data (such as medical images and industrial CT data). In ...
Medical image segmentation is a fundamental component of many clinical applications such as computer-aided diagnosis, radiotherapy planning, and preoperative planning. Its accuracy and stability ...
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I switched 3D printing slicers & you should too
In this video, I share my 6 reasons for switching from PrusaSlicer to Orca Slicer. 🎥 IN THIS VIDEO: 🎥 00:00 Introduction 00:25 What Is Orca Slicer? 01:30 Reason No. 1: Compatibility With More 3D ...
Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...
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Improve your 3D printing game with Orca Slicer
In this video, you'll learn how to effectively use Orca Slicer for enhanced 3D printing results. The right adjustments in your slicer software can significantly impact the outcome of your prints. This ...
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