Summary of Idol: Instant Photorealistic 3d Human Creation From a Single Image, by Yiyu Zhuang et al.
IDOL: Instant Photorealistic 3D Human Creation from a Single Image
by Yiyu Zhuang, Jiaxi Lv, Hao Wen, Qing Shuai, Ailing Zeng, Hao Zhu, Shifeng Chen, Yujiu Yang, Xun Cao, Wei Liu
First submitted to arxiv on: 19 Dec 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Graphics (cs.GR); Machine Learning (cs.LG)
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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 This research proposes a novel approach for creating high-fidelity, animatable 3D full-body avatars from single images. The challenge lies in the diverse appearance and poses of humans, as well as the limited availability of training data. To address this, the authors introduce a large-scale dataset, HuGe100K, comprising 100K photorealistic human image sets with varying views, poses, and appearances. A scalable feed-forward transformer model is then developed to predict 3D human Gaussian representations from given images, disentangling pose, body shape, clothing geometry, and texture. The model demonstrates efficient reconstruction of photorealistic humans at 1K resolution using a single GPU instantly. Additionally, it supports various applications and tasks, such as shape and texture editing. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This research creates an amazing new way to turn one image into a realistic 3D human avatar. Currently, this is very hard because people look different from all angles and there isn’t much training data available. To solve this problem, the authors made a huge dataset of images that show humans in many different poses and views. They also created a special computer model that can take an image and turn it into a 3D human shape. This model is really fast and good at its job. It can even be used for things like editing shapes and textures. |
Keywords
» Artificial intelligence » Transformer
