Dec 13, 2022 · Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation. Authors:Chaolong Yang, Yuyao Yan, Weiguang Zhao, Jianan Ye, Xi ...

Nov 26, 2023 · Thus, a promising solution to jointly understand complex scenes is to combine 2D images with detailed texture information and 3D point clouds ...

Dec 14, 2022 · 3D point clouds are rich in geometric structure information, while 2D im- ages contain important and continuous texture information.

Nov 29, 2023 · In joint 2D-3D approaches, our proposed method achieves superior performance on the ScanNetv2 benchmark for 3D semantic segmentation.

Dec 13, 2022 · Combining 2D information to achieve better 3D semantic segmentation has become mainstream in 3D scene understanding. Albeit the success, it ...

An Elegant PyTorch Implementation of ECCV'2020: Virtual Multi View Fusion for 3D Semantic Segmentation. - YanjieZe/Virtual-Multi-View-Fusion.

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To project the 2D image features to 3D, we use the following approach: We render a depth channel on the virtual views; For each 3D point, we project it back to ...

Missing: Deeper | Show results with:Deeper

We propose to exploit the synergy between images and 3D point clouds by learning to select the most relevant views for each point. Our approach uses the viewing ...