MWFormer: Mesh understanding with window-based transformer

Turnitin 降AI改写 早检测系统 早降重系统 Turnitin-UK版 万方检测-期刊版 维普编辑部版 Grammarly检测 Paperpass检测 checkpass检测 PaperYY检测
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[PDF] cardiff.ac.uk

Learning virtual view selection for 3D scene semantic segmentation

TJ Mu, MY Shen, YK Lai, SM Hu - IEEE Transactions on Image …, 2024 - ieeexplore.ieee.org
2D-3D joint learning is essential and effective for fundamental 3D vision tasks, such as 3D
semantic segmentation, due to the complementary information these two visual modalities …
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[PDF] arxiv.org

Mesh Denoising Transformer

W Zhao, X Liu, D Zhai, J Jiang, X Ji - arxiv preprint arxiv:2405.06536, 2024 - arxiv.org
Mesh denoising, aimed at removing noise from input meshes while preserving their feature
structures, is a practical yet challenging task. Despite the remarkable progress in learning …
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To-Former: semantic segmentation of transparent object with edge-enhanced transformer

J Chen, W Su, M Ge, Y He, J Yu - The Visual Computer, 2024 - Springer
Transparent objects are widely present in our daily environment. The precise semantic
segmentation of transparent objects is crucial for enhancing the perception and …
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Note computers & graphics issue 115

J Jorge - 2023 - dl.acm.org
Note computers & graphics issue 115 | Computers and Graphics skip to main content ACM
Digital Library home ACM home Google, Inc. (search) Advanced Search Browse About Sign in …
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