- 1 · Photo
- 2 · Full body
- 3 · Walking
- 4 · Waving
An image model invents the full body in a clean standing pose, a 3D generator turns that into a textured mesh, and our rigging step gives it a skeleton and motion. The person shown is AI-generated, not a real individual.
What we measured
| Measure | Result | Note |
|---|---|---|
| Input | 1 portrait photo | |
| Full-body edit, free GPU Space | 283–321 s | |
| Motions exported | walk, stop, wave |
What happens next
- Meshy for the 3D step, which fixed most of the detail problems on our cars.
- Keyframe in-betweening: set a start, middle and end pose and let the motion model fill the rest.
The book behind the lab
Get the book today: learn Gaussian splatting and apply it to real projects.
People keep asking how we build what you see here. The book walks students, educators and practitioners from a drone clip to a measured 3D in the browser, with hands-on labs and the code.
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Next experiment
The silent PyTorch bug that made our car model get worse →
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