Full-Body Avatar & Try-On Tech
Budget: ₹12,500 – ₹37,500 INR
I’m building an online fashion experience where a shopper snaps a couple of photos, instantly receives a full-body 3D avatar, and can try on any garment or accessory in our catalogue from either a phone or a desktop browser.
Here’s what I need put in place:
• AI-driven pipeline that converts 2–3 user photos into an accurate, skinnable full-body avatar (no markers or depth cameras).
• Web-ready rendering layer—WebGL, Three.js, or similar—that lets the same avatar load smoothly on mobile phones and desktop computers.
• Garment draping and collision logic for tops & shirts, pants & skirts, plus hats and accessories, with realistic cloth behaviour and texture fidelity.
• Simple uploader or API so my team can drop new clothing meshes (OBJ/FBX/GLB) and see them auto-rigged to the avatar skeleton.
• Output of fit images or a short turntable video that users can download or share.
Acceptance criteria
1. Avatar generation completes in under 60 seconds on a mid-range phone and standard laptop.
2. Size and body-shape accuracy within 1 cm tolerance from supplied measurements.
3. Garment try-on runs at 30 fps or above on recent iOS, Android, and Chrome/Edge desktop browsers.
4. Code is modular, well-documented, and delivered with a short demo project I can host on my own server.
If you’ve worked with Blender scripting, Unity or Unreal cloth, TensorFlow, PyTorch, or similar toolchains and can demonstrate a working sample, I’m ready to get started right away.
Here’s what I need put in place:
• AI-driven pipeline that converts 2–3 user photos into an accurate, skinnable full-body avatar (no markers or depth cameras).
• Web-ready rendering layer—WebGL, Three.js, or similar—that lets the same avatar load smoothly on mobile phones and desktop computers.
• Garment draping and collision logic for tops & shirts, pants & skirts, plus hats and accessories, with realistic cloth behaviour and texture fidelity.
• Simple uploader or API so my team can drop new clothing meshes (OBJ/FBX/GLB) and see them auto-rigged to the avatar skeleton.
• Output of fit images or a short turntable video that users can download or share.
Acceptance criteria
1. Avatar generation completes in under 60 seconds on a mid-range phone and standard laptop.
2. Size and body-shape accuracy within 1 cm tolerance from supplied measurements.
3. Garment try-on runs at 30 fps or above on recent iOS, Android, and Chrome/Edge desktop browsers.
4. Code is modular, well-documented, and delivered with a short demo project I can host on my own server.
If you’ve worked with Blender scripting, Unity or Unreal cloth, TensorFlow, PyTorch, or similar toolchains and can demonstrate a working sample, I’m ready to get started right away.
Related categories:
JavaScript
3D Rendering
3D Modelling
3D Animation
Three.js
AI Image-to-text
AI Model Development
AI Development