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Hua Su

2 accepted papers

2022

3D Shape Reconstruction From 2D Images With Disentangled Attribute Flow

CVPR 2022poster

Reconstructing 3D shape from a single 2D image is a challenging task, which needs to estimate the detailed 3D structures based on the semantic attributes from 2D image. So far, most of the previous methods still struggle to extract semantic attributes for 3D reconstruction task. Since the semantic a…

Cited by 66PDFcodeScholar
2022

Learning Deep Implicit Functions for 3D Shapes With Dynamic Code Clouds

CVPR 2022poster

Deep Implicit Function (DIF) has gained popularity as an efficient 3D shape representation. To capture geometry details, current methods usually learn DIF using local latent codes, which discretize the space into a regular 3D grid (or octree) and store local codes in grid points (or octree nodes). G…

Cited by 60PDFcodeScholar