PifuHD

PIFuHD is an open-source deep learning framework for generating 3D human models from a single 2D image. Developed by researchers at Facebook, it uses neural networks to estimate detailed human shapes and poses, allowing realistic 3D reconstruction suitable for graphics, VR/AR, and AI research.

• Generate full 3D human models from a single image or video frame.
• Supports high-resolution 3D reconstruction with fine details.
• Produces outputs in standard 3D formats (.obj) for easy integration with 3D tools.
• Compatible with GPU acceleration for faster processing.
• Can be used for 3D avatars, animation, virtual try-on, and research.
• Open-source and actively maintained, allowing customization and experimentation.
• Python-based workflow with pre-trained models for immediate use.
• Integrates with graphics tools like Blender, MeshLab, or Unity for visualization.

To check the “version” or latest commit of PIFuHD:
# This shows the latest commit hash and date, which serves as the version identifier
$ sudo su
$ python -c "import torch; print(torch.__version__)"