# YuliangXiu/ICON

[CVPR'22] ICON: Implicit Clothed humans Obtained from Normals

Repository: https://github.com/YuliangXiu/ICON
Canonical: https://ross.abutalabs.com/products/icon
Homepage: https://icon.is.tue.mpg.de
Language: Python
License: NOASSERTION
License Family: other
Topics: implicit-functions, virtual-humans, computer-vision, computer-graphics, animation, 3d-reconstruction, human-pose-estimation, smplx, smpl-model, normal-maps, mesh-deformation, pytorch, metaverse, pifu, pifuhd, cloth-simulation, pose-estimation, avatar-generator, smpl-body, smpl
Last push: 2023-11-23T16:44:57+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 1738, "days_push": 1014, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1675, forks 221 (observed 2026-08-28T04:05:20.508027+00:00)

## What it is
ICON is a PyTorch research implementation of a CVPR 2022 method that reconstructs detailed, animatable 3D clothed human avatars from 2D images using implicit functions and SMPL(-X) body priors. It infers front/back clothed-human normals and combines them with local features to produce robust 3D surfaces even for unconstrained poses.

## Use cases
- reconstruct a 3D clothed human avatar from a single photo
- generate animatable SMPL-based body meshes from images
- estimate clothed human normals for 3D surface detail
- create virtual avatars for the metaverse or games from photos
- research on implicit-function-based 3D human reconstruction
- extract garment geometry from images for cloth simulation

## When to choose
- you need photo-to-3D clothed human reconstruction with SMPL body priors
- you want a research baseline or successor pipeline (ECON) for avatar creation
- you need animatable avatars from unconstrained 2D images

## When to avoid
- you need actively developed software - the authors recommend ECON instead
- you lack a GPU or the SMPL model dependencies
- you need production-grade, licensed commercial avatar tooling (license is non-standard)

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, computer-vision, image-processing, deep-learning
- domain: computer-vision, graphics, machine-learning, artificial-intelligence
- platform: python, cross-platform
- tags: 3d-reconstruction, implicit-functions, smpl, human-avatar, normal-maps, pytorch, cvpr-2022, pose-estimation, mesh-generation, virtual-humans, gpu, linux

## Member repositories
- YuliangXiu/ICON (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:20.508027+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:42:28.514826+00:00, confidence not recorded.
  - readme: https://github.com/YuliangXiu/ICON (fetched 2026-08-28T04:05:20.508027+00:00, sha 37f145665fc2)
  - homepage: https://icon.is.tue.mpg.de (fetched 2026-08-29T11:15:20.146188+00:00, sha b143ca4f7083)
- Data as of 2026-08-30T08:39:29.467469+00:00.