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CT2Hair: High-Fidelity 3D Hair Modeling using Computed Tomography.

, , , , , , , and . ACM Trans. Graph., 42 (4): 75:1-75:13 (August 2023)

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Progressive Acquisition of SVBRDF and Shape in Motion., , , and . Comput. Graph. Forum, 39 (6): 480-495 (2020)Human Hair Inverse Rendering using Multi-View Photometric data., , , , and . EGSR (DL), page 179-190. Eurographics Association, (2021)A Local Appearance Model for Volumetric Capture of Diverse Hairstyle., , , , , , and . CoRR, (2023)NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation., , , , , , , , and . CoRR, (2022)Multispectral Photometric Stereo for Acquiring High-Fidelity Surface Normals., and . IEEE Computer Graphics and Applications, 34 (6): 57-68 (2014)HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture., , , , , , and . CVPR, page 6133-6144. IEEE, (2022)HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture., , , , , , and . CoRR, (2021)Accelerating Hair Rendering by Learning High-Order Scattered Radiance., , , , , , , and . Comput. Graph. Forum, 42 (4): i-x (July 2023)Practical SVBRDF acquisition of 3D objects with unstructured flash photography., , , and . ACM Trans. Graph., 37 (6): 267 (2018)NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation., , , , , , , , and . CVPR, page 8641-8651. IEEE, (2023)