Texturized Multi-level Implicit Modelling for High- Resolution 3D Human Digitization: The PIFuHD approach
Author(s):
Mihir Harne, Parth Gorde, Shreya Junagade, Roma Thakur
Keywords:
Abstract
Our 3D human shape estimation network stands out for integrating volumetric feature transformation, merging diverse image features into 3D space to precisely recover surface geometry. Complemented by a rich dataset of 7000 real-world human models, our method, empowered by unique architecture, excels in single-image 3D human model estimation. Addressing challenges in estimating human pose and body shape from 3D scans over time, we introduce PIFuHD Pixel- aligned Implicit Function. PIFuHD enables end-to-end deep learning for digitizing detailed clothed humans from a single image, surpassing prior work with high-resolution reconstructions on the Render people dataset. Moreover, our innovative approach recovers fine details, even on occluded parts, by transforming shape regression into an aligned image-to-image translation problem. Using a partial texture map as input, our method estimates detailed normal and vector displacement maps, enhancing clothing representation on a low-resolution smooth body model. In the landscape of 3D human shape estimation, our multi-level architecture, balancing broad context and high resolution, significantly outperforms existing techniques, leveraging 1kresolution input images for enhanced single-image reconstructions.
Article Details
Unique Paper ID: 163951

Publication Volume & Issue: Volume 10, Issue 11

Page(s): 2219 - 2225
Article Preview & Download


Share This Article

Join our RMS



Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Latest Publication

Call For Paper

Volume 10 Issue 10

Last Date for paper submitting for March Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies

Important Links

Browse Rsearch papers