Genemate: A Low-Cost, Real-Time Framework for High-Definition 3D Human Modeling and Animation

preprint OA: closed
Full text JSON View at publisher

Abstract

High-definition 3D human modeling and real-time animation are increasingly vital in applications spanning virtual reality, education, gaming, and digital healthcare. This paper introduces Genemate, a low-cost, modular framework that automates the end-to-end pipeline for generating and animating realistic 3D human models from 2D images. Genemate integrates a 13-stage photogrammetry pipeline—built on Meshroom—for dense 3D reconstruction, couples it with automated rigging using AccuRig, and leverages MediaPipe for real-time pose estimation and motion retargeting. Unlike traditional pipelines that demand high-end infrastructure or manual intervention, Genemate decouples modeling from animation, enabling pre-constructed models to be animated live with minimal computational overhead. Experimental results on multiple image sets demonstrate that Genemate achieves real-time rendering speeds (15–24 FPS) and high-fidelity character outputs, all using consumer-grade hardware. The framework’s scalability, affordability, and reproducibility make it a promising candidate for democratizing access to photorealistic 3D human animation in resource-constrained environments.
Full text 2,231 characters · extracted from oa-doi-fallback · 2 sections · click to expand

Abstract

High-definition 3D human modeling and real-time animation are increasingly vital in applications spanning virtual reality, education, gaming, and digital healthcare. This paper introduces Genemate, a low-cost, modular framework that automates the end-to-end pipeline for generating and animating realistic 3D human models from 2D images. Genemate integrates a 13-stage photogrammetry pipeline—built on Meshroom—for dense 3D reconstruction, couples it with automated rigging using AccuRig, and leverages MediaPipe for real-time pose estimation and motion retargeting. Unlike traditional pipelines that demand high-end infrastructure or manual intervention, Genemate decouples modeling from animation, enabling pre-constructed models to be animated live with minimal computational overhead. Experimental results on multiple image sets demonstrate that Genemate achieves real-time rendering speeds (15–24 FPS) and high-fidelity character outputs, all using consumer-grade hardware. The framework’s scalability, affordability, and reproducibility make it a promising candidate for democratizing access to photorealistic 3D human animation in resource-constrained environments. Supplementary Material File (genemate_cavw_format.pdf) - Download - 1.98 MB Information & Authors Information Version history Copyright This work is licensed under a Non Exclusive No Reuse License.

Keywords

Authors Metrics & Citations Metrics Article Usage 560views 1133downloads Citations Download citation K.S. Sunil, A. Harigovind, Ancel Jomon, et al. Genemate: A Low-Cost, Real-Time Framework for High-Definition 3D Human Modeling and Animation. Authorea. 13 May 2025. DOI: https://doi.org/10.22541/au.174711798.80377041/v1 DOI: https://doi.org/10.22541/au.174711798.80377041/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu.

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00