5 papers
CT2Yarn: Yarn-Level Reconstruction of Crochet from Computed Tomography
Chang Luo, Nobuyuki Umetani
We introduce CT2Yarn, a human-in-the-loop framework for recovering a single continuous yarn path from micro-computed tomography (micro-CT) scans of real crochet objects. Crochet is…
Inverse Rendering for Modeling with Line Primitives
Kenji Tojo, Ariel Shamir, Nobuyuki Umetani +1
Faithfully capturing diverse real-world objects with fuzzy, anisotropic structures, such as hair, fur, fibers, and textiles, for efficient real-time visualization remains challengi…
Neural Gabor Splatting: Enhanced Gaussian Splatting with Neural Gabor for High-frequency Surface Reconstruction
Haato Watanabe, Nobuyuki Umetani
Recent years have witnessed the rapid emergence of 3D Gaussian splatting (3DGS) as a powerful approach for 3D reconstruction and novel view synthesis. Its explicit representation w…
DiffSoup: Direct Differentiable Rasterization of Triangle Soup for Extreme Radiance Field Simplification
Kenji Tojo, Bernd Bickel, Nobuyuki Umetani
Radiance field reconstruction aims to recover high-quality 3D representations from multi-view RGB images. Recent advances, such as 3D Gaussian splatting, enable real-time rendering…
LeafFit: Plant Assets Creation from 3D Gaussian Splatting
Chang Luo, Nobuyuki Umetani
We propose LeafFit, a pipeline that converts 3D Gaussian Splatting (3DGS) of individual plants into editable, instanced mesh assets. While 3DGS faithfully captures complex foliage,…