YuliangXiu/ECON

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1206 stars · 116 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

ECON is a research tool that reconstructs high-fidelity 3D clothed human avatars from a single color image by combining implicit and explicit surface representations with SMPL-X guidance. It supports multi-person reconstruction, SMPL-X-based animation, and ships with demos on HuggingFace and Google Colab.

Use cases

• reconstruct a 3D clothed human avatar from a single photo
• generate digital human models for the metaverse or digital twins
• handle 3D human reconstruction with loose clothing or challenging poses
• animate reconstructed humans using SMPL-X
• reconstruct multiple people from one image
• replace noisy face or hand geometry with clean SMPL-X parts

When to choose

• you need high-fidelity 3D humans from single in-the-wild images, including loose clothing
• you want a research-grade CVPR 2023 method with pretrained models and demos
• you need SMPL-X-compatible output for downstream animation pipelines

When to avoid

• you need real-time or production-grade avatar generation at scale
• you lack a GPU or cannot set up a heavy PyTorch research environment
• you need a simple off-the-shelf app rather than a research codebase with a non-standard license

Facets

library · maturity maintenance

machine-learning computer-vision image-processing deep-learning computer-vision graphics machine-learning artificial-intelligence python windows 3d-reconstruction human-digitization avatar-generation smpl-x normal-maps implicit-surfaces cvpr-2023 pytorch gpu docker linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="YuliangXiu/ECON")