bioRxiv / medRxiv
open access
CC0 1.0
BodyMAE: A Surface-Area Aware Masked Autoencoder for Body Composition Estimation from 3D Body Scans
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Predicting anthropometric body composition variables using 3D optical imaging and machine learning.#236109
- SMPL-GPTexture: Dual-View 3D Human Texture Estimation using Text-to-Image Generation Models#128372
- PoseDreamer: Scalable and Photorealistic Human Data Generation Pipeline with Diffusion Models#926972
- Deep learning and body composition model for predicting postoperative complications in colorectal cancer.#368046
- Pose-to-Biomechanics: Bridging 3D Human Pose Estimation and Biomechanical Attribute Prediction#353042
Record · ID 341962
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive