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Creation of 3D content by stylization is a promising yet challenging problem in computer vision and graphics research.
Ray casting for modeling solids
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Physically-based shading at disney
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Functionality preserving shape style transfer
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Thingi10k: A dataset of 10,000 3d-printing models
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Automatic unpaired shape deformation transfer
Lin Gao, Jie Yang, Yi-Ling Qiao, Yu-Kun Lai, Paul L Rosin, Weiwei Xu, and Shihong Xia · 2018
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Image2lego: Customized lego set generation from images
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Styleclip: Text-driven manipulation of stylegan imagery
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Learning transferable visual models from natural language supervision
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Zero-shot text-to-image generation
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Occupancy networks: Learning 3d reconstruction in function space
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Neural reflectance fields for appearance acquisition
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Deep geometric texture synthesis
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Neural subdivision
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Nerv: Neural reflectance and visibility fields for relighting and view synthesis
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3dstylenet: Creating 3d shapes with geometric and texture style variations
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Physg: Inverse rendering with spherical gaussians for physics-based material editing and relighting
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Nerfactor: Neural factorization of shape and reflectance under an unknown illumination
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