Abstract
The rapid advancement of 3D Generative Adversarial Networks (GANs) has significantly enhanced the diversity and quality of generated 3D images. Despite these breakthroughs, the manipulation capabilities of 3D GANs remain unexplored, presenting substantial challenges for practical applications where user interaction and modification are essential. Current manipulation methods often lack the precision needed for fine-grained attribute manipulation, and struggle to maintain multi-view consistency during the editing process. To address these limitations, we propose 3DHumanEdit, a novel approach for 3D human body part-aware manipulation. 3DHumanEdit leverages multi-modal feature fusion and body part-aware feature alignment to achieve precise manipulation of individual body parts based on detailed text inputs and segmentation images. By exploring 3D prior for accurate editing and enforcing correspondence in latent space, 3DHu-manEdit ensures coherence across multiple views. Experiments demonstrate that 3DHumanEdit outperforms existing methods in both editing fidelity and multi-view consistency, offering a robust solution for fine-grained 3D manipulation. Copyright © 2025, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 39th AAAI Conference on Artificial Intelligence |
| Editors | Toby Walsh, Julie Shah, Zico Kolter |
| Publisher | AAAI Press |
| Pages | 8833-8841 |
| Volume | 39 |
| ISBN (Print) | 1-57735-897-X, 978-1-57735-897-8 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025) - Pennsylvania Convention Center , Philadelphia, United States Duration: 25 Feb 2025 → 4 Mar 2025 https://aaai.org/conference/aaai/aaai-25/ |
Publication series
| Name | Proceedings of the AAAI Conference on Artificial Intelligence |
|---|---|
| Volume | 39 |
| ISSN (Print) | 2159-5399 |
| ISSN (Electronic) | 2374-3468 |
Conference
| Conference | 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025) |
|---|---|
| Abbreviated title | AAAI-25 |
| Country/Territory | United States |
| City | Philadelphia |
| Period | 25/02/25 → 4/03/25 |
| Internet address |
Bibliographical note
Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).Funding
This work was supported in part by the National Natural Science Foundation of China (Project No. 62072189), in part by the GuangDong Basic and Applied Basic Research Foundation (Project No. 2024A1515011437), and in part by TCL Science and Technology Innovation Fund (Project No. 20231752).