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Human Shape and Clothing Estimation

arXiv 2402.18032 ↗First posted 28 Feb 2024cs.CVcited by 0

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Abstract (arXiv)

Human shape and clothing estimation has gained significant prominence in various domains, including online shopping, fashion retail, augmented reality (AR), virtual reality (VR), and gaming. The visual representation of human shape and clothing has become a focal point for computer vision researchers in recent years. This paper presents a comprehensive survey of the major works in the field, focusing on four key aspects: human shape estimation, fashion generation, landmark detection, and attribute recognition. For each of these tasks, the survey paper examines recent advancements, discusses their strengths and limitations, and qualitative differences in approaches and outcomes. By exploring the latest developments in human shape and clothing estimation, this survey aims to provide a comprehensive understanding of the field and inspire future research in this rapidly evolving domain.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 31 of its 56 references that are in the map. First posted on arXiv 28 Feb 2024.

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31 of 56 references.

References · 31

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19 more
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