Summary of Ihuman: Instant Animatable Digital Humans From Monocular Videos, by Pramish Paudel et al.
iHuman: Instant Animatable Digital Humans From Monocular Videos
by Pramish Paudel, Anubhav Khanal, Ajad Chhatkuli, Danda Pani Paudel, Jyoti Tandukar
First submitted to arxiv on: 15 Jul 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 method enables the creation of animatable 3D digital humans from monocular videos through Gaussian splatting, efficiently modeling both geometry and appearance. The approach optimizes Gaussian splats to produce accurate geometry, crucial for high-quality animations. A novel pipeline is developed by combining implicit surface displacement modeling, binding 3D Gaussians to triangular body faces, and a rendering technique with auxiliary supervision. Experimental results on three benchmark datasets demonstrate state-of-the-art performance in limited time settings, outperforming the closest competitor by an order of magnitude. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps create realistic digital humans from videos. It’s like taking a selfie and then bringing it to life! The method uses special math tricks to make the 3D avatar look good. It’s fast too – much faster than other methods. The results are amazing, making it perfect for things like video games or movies. |
