Dora-VAE uses sharp-edge sampling plus dual cross-attention to match XCube-level reconstruction with 1,280 latent codes; Dora-bench adds complexity tiers and a sharp normal error metric.
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Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders
Dora-VAE uses sharp-edge sampling plus dual cross-attention to match XCube-level reconstruction with 1,280 latent codes; Dora-bench adds complexity tiers and a sharp normal error metric.