Papers › Ultraman: Single Image 3D Human Reconstruction with Ultra Speed and Detail
Ultraman: Single Image 3D Human Reconstruction with Ultra Speed and Detail
Mingjin Chen, JunHao Chen, Xiaojun Ye, Huan-ang Gao, Xiaoxue Chen, Zhaoxin Fan, Hao Zhao
3D human body reconstruction has been a challenge in the field of computer vision. Previous methods are often time-consuming and difficult to capture the detailed appearance of the human body. In this paper, we propose a new method called \emph{Ultraman} for fast reconstruction of textured 3D human models from a single image. Compared to existing techniques, \emph{Ultraman} greatly improves the reconstruction speed and accuracy while preserving high-quality texture details. We present a set of new frameworks for human reconstruction consisting of three parts, geometric reconstruction, texture generation and texture mapping. Firstly, a mesh reconstruction framework is used, which accurately extracts 3D human shapes from a single image. At the same time, we propose a method to generate a multi-view consistent image of the human body based on a single image. This is finally combined with a novel texture mapping method to optimize texture details and ensure color consistency during reconstruction. Through extensive experiments and evaluations, we demonstrate the superior performance of \emph{Ultraman} on various standard datasets. In addition, \emph{Ultraman} outperforms state-of-the-art methods in terms of human rendering quality and speed. Upon acceptance of the article, we will make the code and data publicly available.
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Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Lifelike 3D Human Generation | THuman2.0 Dataset | Ultraman | CLIP Similarity | 0.9131 | #2 of 6 | Archive leaderboard | report |
| Lifelike 3D Human Generation | THuman2.0 Dataset | Ultraman | LPIPS | 0.1338 | #2 of 6 | Archive leaderboard | report |
| Lifelike 3D Human Generation | THuman2.0 Dataset | Ultraman | PSNR | 17.4877 | #2 of 6 | Archive leaderboard | report |
| Lifelike 3D Human Generation | THuman2.0 Dataset | Ultraman | SSIM | 0.8958 | #2 of 6 | Archive leaderboard | report |
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Methods
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