IDOL: Instant Photorealistic 3D Human Creation from a Single Image
Yiyu Zhuang, Jiaxi Lv, Hao Wen, Qing Shuai, Ailing Zeng, Hao Zhu, Shifeng Chen, Yujiu Yang, Xun Cao, Wei Liu
2025年份
17顶会引用
摘要
Figure 1. This work introduces (a) IDOL, a feed-forward, single-image human reconstruction framework that is fast, high-fidelity, and generalizable; (b) Utilizing the proposed Large Generated Human Multi-View Dataset consisting of 100K multi-view subjects, our method exhibits exceptional generalizability in handling diverse human shapes, cross-domain data, severe viewpoints, and occlusions; (c) With a uniform structured representation, the avatars can be directly animatable and easily editable.
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引用它的顶会 Paper17
- GUAVA: Generalizable Upper Body 3D Gaussian AvatarDongbin Zhang, Yunfei Liu, Lijian Lin, Ye Zhu 等ICCV 2025 · 被引用 9 次
- PERSONA: Personalized Whole-Body 3D Avatar with Pose-Driven Deformations from a Single ImageGeonhee Sim, Gyeongsik MoonICCV 2025 · 被引用 6 次
- ETCH: Generalizing Body Fitting to Clothed Humans Via Equivariant TightnessBoqian Li, Haiwen Feng, Zeyu Cai, Michael J. Black 等ICCV 2025 · 被引用 5 次
- Large-scale Codec Avatars: The Unreasonable Effectiveness of Large-scale Avatar PretrainingJunxuan Li, Rawal Khirodkar, Egor Zakharov, Jihyun Lee 等CVPR 2026 · 被引用 3 次
- Bringing Your Portrait to 3D PresenceJiawei Zhang, Lei Chu, Jiahao Li, Zhenyu Zang 等CVPR 2026 · 被引用 3 次
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