IntegratedPIFu: Integrated Pixel Aligned Implicit Function for Single-view Human Reconstruction

November 15, 2022 Β· Declared Dead Β· πŸ› European Conference on Computer Vision

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Authors Kennard Yanting Chan, Guosheng Lin, Haiyu Zhao, Weisi Lin arXiv ID 2211.07955 Category cs.CV: Computer Vision Cross-listed cs.AI Citations 27 Venue European Conference on Computer Vision Last Checked 3 months ago
Abstract
We propose IntegratedPIFu, a new pixel aligned implicit model that builds on the foundation set by PIFuHD. IntegratedPIFu shows how depth and human parsing information can be predicted and capitalised upon in a pixel-aligned implicit model. In addition, IntegratedPIFu introduces depth oriented sampling, a novel training scheme that improve any pixel aligned implicit model ability to reconstruct important human features without noisy artefacts. Lastly, IntegratedPIFu presents a new architecture that, despite using less model parameters than PIFuHD, is able to improves the structural correctness of reconstructed meshes. Our results show that IntegratedPIFu significantly outperforms existing state of the arts methods on single view human reconstruction. Our code has been made available online.
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