Make-A-Character 2: Animatable 3D Character Generation From a Single Image
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arXiv
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| Format: | Preprint |
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2025
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| author | Liu, Lin Wang, Yutong Chen, Jiahao Li, Jianfang Xue, Tangli Li, Longlong Ren, Jianqiang Bo, Liefeng |
| author_facet | Liu, Lin Wang, Yutong Chen, Jiahao Li, Jianfang Xue, Tangli Li, Longlong Ren, Jianqiang Bo, Liefeng |
| contents | This report introduces Make-A-Character 2, an advanced system for generating high-quality 3D characters from single portrait photographs, ideal for game development and digital human applications. Make-A-Character 2 builds upon its predecessor by incorporating several significant improvements for image-based head generation. We utilize the IC-Light method to correct non-ideal illumination in input photos and apply neural network-based color correction to harmonize skin tones between the photos and game engine renders. We also employ the Hierarchical Representation Network to capture high-frequency facial structures and conduct adaptive skeleton calibration for accurate and expressive facial animations. The entire image-to-3D-character generation process takes less than 2 minutes. Furthermore, we leverage transformer architecture to generate co-speech facial and gesture actions, enabling real-time conversation with the generated character. These technologies have been integrated into our conversational AI avatar products. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_07870 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Make-A-Character 2: Animatable 3D Character Generation From a Single Image Liu, Lin Wang, Yutong Chen, Jiahao Li, Jianfang Xue, Tangli Li, Longlong Ren, Jianqiang Bo, Liefeng Computer Vision and Pattern Recognition This report introduces Make-A-Character 2, an advanced system for generating high-quality 3D characters from single portrait photographs, ideal for game development and digital human applications. Make-A-Character 2 builds upon its predecessor by incorporating several significant improvements for image-based head generation. We utilize the IC-Light method to correct non-ideal illumination in input photos and apply neural network-based color correction to harmonize skin tones between the photos and game engine renders. We also employ the Hierarchical Representation Network to capture high-frequency facial structures and conduct adaptive skeleton calibration for accurate and expressive facial animations. The entire image-to-3D-character generation process takes less than 2 minutes. Furthermore, we leverage transformer architecture to generate co-speech facial and gesture actions, enabling real-time conversation with the generated character. These technologies have been integrated into our conversational AI avatar products. |
| title | Make-A-Character 2: Animatable 3D Character Generation From a Single Image |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2501.07870 |