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Standard latent VAEs quietly introduce up to 8.5° of surface normal error at object boundaries—TransNormal-2 eliminates this decoding bottleneck on both sides of the pipeline to outperform state-of-the-art geometry models with a 98.6% reduction in supervised normal data.