3D Reconstruction
Animatable Reconstruction of Clothed Humans
Introduced by Huang et al. in ARCH: Animatable Reconstruction of Clothed HumansAnimatable Reconstruction of Clothed Humans is an end-to-end framework for accurate reconstruction of animation-ready 3D clothed humans from a monocular image. ARCH is a learned pose-aware model that produces detailed 3D rigged full-body human avatars from a single unconstrained RGB image. A Semantic Space and a Semantic Deformation Field are created using a parametric 3D body estimator. They allow the transformation of 2D/3D clothed humans into a canonical space, reducing ambiguities in geometry caused by pose variations and occlusions in training data. Detailed surface geometry and appearance are learned using an implicit function representation with spatial local features.
Source: ARCH: Animatable Reconstruction of Clothed Humans
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Time Series Analysis | 5 | 22.73% |
| Cloud Computing | 1 | 4.55% |
| Management | 1 | 4.55% |
| Econometrics | 1 | 4.55% |
| Cross-Modal Information Retrieval | 1 | 4.55% |
| Cross-Modal Retrieval | 1 | 4.55% |
| Information Retrieval | 1 | 4.55% |
| Retrieval | 1 | 4.55% |
| 3D Human Pose Estimation | 1 | 4.55% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
