facebookresearch/pifuhd

Health v2 · maintenance only

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Adoption not part of the score

9737 stars · 1470 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

PIFuHD is a PyTorch implementation of a CVPR 2020 research model that reconstructs high-resolution 3D human body meshes from a single 2D image using multi-level pixel-aligned implicit functions. It provides test and visualization code plus pretrained model checkpoints.

Use cases

• reconstruct a 3D human model from a single photo
• generate 3D mesh files of people from images
• create 3D avatars from portrait photos
• run high-resolution 3D human digitization research
• convert 2D images of people into obj files

When to choose

• you need single-image 3D human reconstruction with high detail
• you have a GPU with at least 8GB memory and want pretrained inference
• you are reproducing or building on CVPR 2020 3D digitization research

When to avoid

• you need full-body reconstruction of non-human objects or scenes
• you lack a CUDA GPU (CPU inference is impractical)
• you need actively maintained production software or training code
• you need real-time 3D reconstruction

Facets

library · maturity maintenance

machine-learning deep-learning image-processing computer-vision computer-vision deep-learning graphics machine-learning python cross-platform 3d-reconstruction human-digitization implicit-function pytorch cvpr-2020 single-image mesh-generation research-code gpu linux

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