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TransNormal-2: Geometry-Grounded Rectified Flow with Edge-Aware Decoding for Precise Normal Estimation

Researchers introduced TransNormal-2, a geometry-grounded rectified flow model with edge-aware decoding that addresses VAE reconstruction degradation in monocular normal estimation, improving precision at object boundaries by mitigating the 8x spatial compression error.

by read1 min views1 publishedSep 9, 2026

Diffusion-based models enable monocular geometry estimation, yet their pixel-space precision is limited by a shared, under-studied error source: VAE reconstruction degradation. The 8x spatial compression in the VAE encoder-decoder degrades surface normals at object boundaries; even encoding and deco

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