mlsanityData to 7 Oct 2026

FastHuman: Reconstructing High-Quality Clothed Human in Minutes

arXiv 2211.14485 ↗First posted 26 Nov 2022cs.CVcited by 6

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Abstract (arXiv)

We propose an approach for optimizing high-quality clothed human body shapes in minutes, using multi-view posed images. While traditional neural rendering methods struggle to disentangle geometry and appearance using only rendering loss, and are computationally intensive, our method uses a mesh-based patch warping technique to ensure multi-view photometric consistency, and sphere harmonics (SH) illumination to refine geometric details efficiently. We employ oriented point clouds' shape representation and SH shading, which significantly reduces optimization and rendering times compared to implicit methods. Our approach has demonstrated promising results on both synthetic and real-world datasets, making it an effective solution for rapidly generating high-quality human body shapes. Project page hrefhttps://l1346792580123.github.io/nccsfs/https://l1346792580123.github.io/nccsfs/

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 40 of its 75 references that are in the map. First posted on arXiv 26 Nov 2022.

Builds on

40 of 75 references.

References · 40

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28 more
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  28. 2017A Variational Approach to Shape-from-shading Under Natural Illuminationcited by 6

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Citing papers per year: 2024: 4; 2025: 2.

6 papers.