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.

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