Summary of Pomo3d: 3d-aware Portrait Accessorizing and More, by Tzu-chieh Liu et al.
Pomo3D: 3D-Aware Portrait Accessorizing and More
by Tzu-Chieh Liu, Chih-Ting Liu, Shao-Yi Chien
First submitted to arxiv on: 22 Sep 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed Pomo3D framework enables 3D portrait manipulation with fine-grained editing capabilities. It allows avatars to wear multiple accessories simultaneously, overcoming limitations in existing methods that often cause identity shifts or fail to generate additional objects. The framework consists of the Scribble2Accessories module, which creates 3D accessories from user-drawn maps, and a bias-conscious mapper to mitigate real-world dataset biases. Pomo3D also offers global and local editing options for portrait geometry, texture, and stylization, elevating neural portrait editing. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Pomo3D is a new way to edit portraits in 3D. It lets people create fun and fashionable virtual characters by adding accessories like hats or jewelry. Right now, most methods only allow one accessory at a time and can change the character’s appearance too much. Pomo3D solves this problem by letting users add multiple accessories while keeping the character looking like themselves. The system also includes tools for editing portraits, such as changing their shape or color. |
