Our architecture employs intermediate geometric representations and explicit reasoning with spatial feature maps, consisting of a depth estimator, geometric unprojection, and a projection-guided shape reconstructor.
Estimating the 3D visible object surface is critical for shape reconstruction, as it allows for the detection of symmetry and curvature cues that aid in generalization.
Utilizing a view-centric coordinate system enhances generalization in reconstruction tasks, positioning the camera coordinate frame as the 'world' frame for effective shape unprojection.
#3d-shape-reconstruction #geometric-representation #view-centric-learning #ai-techniques #depth-estimation
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