3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in 3d-wireframe-reconstruction-6
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Use these libraries to find 3d-wireframe-reconstruction-6 models and implementations
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This work introduces PC2WF, the first end-to-end trainable deep network architecture to convert a 3D point cloud into a wireframe model, and produces wireframe abstractions of good quality and outperforms several baselines.
The proposed NEAT enjoys the joint optimization of the neural fields and the global junctions from scratch, using view-dependent 2D observations without precomputed cross-view feature matching, demonstrating its superiority over state-of-the-art alternatives for 3D wireframe reconstruction.
Adding a benchmark result helps the community track progress.