Abstract: Neural implicit functions including signed distance functions (SDFs) and unsigned distance functions (UDFs) have shown powerful ability in fitting the shape geometry. However, inferring ...
Various applications require 3D avatars that are realistic, artifact-free, and animatable. However, traditional 3D morphable models (3DMMs) produce animatable 3D heads but fail to capture accurate ...
Abstract: We introduce a spatially-consistent implicit f unction representation (sci-f) for high-resolution volumetric computed tomography (CT) image recovery from uni- and bi-planar X-ray images. We ...
GA-Sketching: Shape Modeling from Multi-View Sketching with Geometry-Aligned Deep Implicit Functions
Sketch-based shape modeling aims to bridge the gap between 2D drawing and 3D modeling by providing an intuitive and accessible approach to create 3D shapes from 2D sketches. However, existing methods ...
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