Search Results for author: Yanran Guan

Found 3 papers, 2 papers with code

Diverse Part Synthesis for 3D Shape Creation

no code implementations17 Jan 2024 Yanran Guan, Oliver van Kaick

Specifically, we experiment with multimodal deep generative models that allow sampling diverse suggestions for shape parts and focus on models which have not been considered in previous work on shape synthesis.

Learning Neural Implicit Representations with Surface Signal Parameterizations

1 code implementation1 Nov 2022 Yanran Guan, Andrei Chubarau, Ruby Rao, Derek Nowrouzezahrai

Traditional explicit object representations commonly couple the 3D shape data with auxiliary surface-mapped image data, such as diffuse color textures and fine-scale geometric details in normal maps that typically require a mapping of the 3D surface onto a plane, i. e., a surface parameterization; implicit representations, on the other hand, cannot be easily textured due to lack of configurable surface parameterization.

FAME: 3D Shape Generation via Functionality-Aware Model Evolution

1 code implementation9 May 2020 Yanran Guan, Han Liu, Kun Liu, Kangxue Yin, Ruizhen Hu, Oliver van Kaick, Yan Zhang, Ersin Yumer, Nathan Carr, Radomir Mech, Hao Zhang

Our tool supports constrained modeling, allowing users to restrict or steer the model evolution with functionality labels.

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