AINeutralarXiv – CS AI · 18h ago6/10
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CLONE: A 3DGS-Based Closed-Loop Differentiable Optimization Framework for Single-Image Normal Estimation
Researchers introduce CLONE, a 3D Gaussian Splatting-based framework that estimates surface normals from single images by creating a closed-loop differentiable optimization pathway. The method unifies discriminative and generative approaches through an image-geometry-image consistency loop, eliminating the need for explicit normal supervision while maintaining geometric accuracy and local detail.