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LiverMatch network overview: 1) Encoder - down-samples input point clouds and extract associated features; 2) Transformer - updates features to conditioned features with self-global geometry and cross-global geometry information. 3) Decoder - up-samples conditioned features to obtain per-point features. 4) Matching - calculates a confidence matrix to select matches. An additional 1D convolution decodes the to visibility scores.
