shunsukesaito/PIFu
PyTorch implementation of PIFu for reconstructing high-resolution 3D human models from single RGB images.
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This repository implements the PIFu (Pixel-Aligned Implicit Function) paper for high-resolution clothed human digitization. It uses deep neural networks to infer 3D geometry from 2D image inputs by learning implicit functions that map pixel-aligned features to surface representations. The codebase includes test code, training code, and data generation utilities for reproducing the ICCV 2019 paper results.
Frequently asked
- What is shunsukesaito/PIFu?
- PyTorch implementation of PIFu for reconstructing high-resolution 3D human models from single RGB images.
- Is PIFu open source?
- Yes — shunsukesaito/PIFu is an open-source project tracked on heatdrop.
- What language is PIFu written in?
- shunsukesaito/PIFu is primarily written in Python.
- How popular is PIFu?
- shunsukesaito/PIFu has 1.8k stars on GitHub.
- Where can I find PIFu?
- shunsukesaito/PIFu is on GitHub at https://github.com/shunsukesaito/PIFu.