Pomo3D: 3D-Aware Portrait Accessorizing and More
<|reference_start|>Pomo3D: 3D-Aware Portrait Accessorizing and More: We propose Pomo3D, a 3D portrait manipulation framework that allows free accessorizing by decomposing and recomposing portraits and accessories. It enables the avatars to attain out-of-distribution (OOD) appearances of simultaneously wearing multiple accessories. Existing methods still struggle to offer such explicit and fine-grained editing; they either fail to generate additional objects on given portraits or cause alterations to portraits (e.g., identity shift) when generating accessories. This restriction presents a noteworthy obstacle as people typically seek to create charming appearances with diverse and fashionable accessories in the virtual universe. Our approach provides an effective solution to this less-addressed issue. We further introduce the Scribble2Accessories module, enabling Pomo3D to create 3D accessories from user-drawn accessory scribble maps. Moreover, we design a bias-conscious mapper to mitigate biased associations present in real-world datasets. In addition to object-level manipulation above, Pomo3D also offers extensive editing options on portraits, including global or local editing of geometry and texture and avatar stylization, elevating 3D editing of neural portraits to a more comprehensive level.<|reference_end|>
@article{liu2024pomo3d:,
    title={Pomo3D: 3D-Aware Portrait Accessorizing and More},
    author={Tzu-Chieh Liu, Chih-Ting Liu, Shao-Yi Chien},
    journal={arXiv preprint arXiv:2409.14430},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.14430},
    primaryClass={cs.CV cs.AI}
}