Instruct 3D-to-3D
High-fidelity text-guided conversion and editing of 3D scenes using iterative diffusion updates.
AI-powered 3D head reconstruction from single 2D images for hyper-realistic digital twins.
Avatar SDK, developed by Itseez3D, is a premier AI-driven solution for generating photorealistic 3D human avatars from a single 2D photograph. Utilizing advanced deep learning and computer vision architectures, the platform reconstructs precise facial geometry and high-resolution textures in under 10 seconds. As of 2026, the tool has solidified its position in the market by bridging the gap between mobile-grade performance and high-fidelity CGI through its 'Head 2.0' pipeline. This architecture provides 60+ facial blendshapes (ARKit compatible) and automated hair/eye matching, making it a critical component for developers in gaming, VR/AR, and enterprise telepresence. The solution is uniquely versatile, offering a Cloud API for scalable web applications, a Unity/Unreal plugin for real-time engine integration, and an On-Device SDK for privacy-sensitive or offline mobile environments. Its ability to export directly into the Unreal Engine MetaHuman ecosystem has made it a preferred choice for studios requiring rapid character iteration without sacrificing the quality of facial animation or vertex density.
Advanced vertex-level mesh generation with high-fidelity texture blending and realistic eye/mouth internal geometry.
High-fidelity text-guided conversion and editing of 3D scenes using iterative diffusion updates.
High-Fidelity Shading-Guided 3D Asset Generation from Sparse 2D Inputs
High-Quality Single Image to 3D Generation using 2D and 3D Diffusion Priors
Edit 3D scenes and NeRFs with natural language instructions while maintaining multi-view consistency.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Seamless export pipeline that converts generated heads into MetaHuman-compatible components with matched DNA files.
AI-driven detection of user hairstyle in 2D photos to select and fit the closest 3D hairstyle from a 100+ asset library.
Optimized inference engine for iOS and Android that performs 3D reconstruction locally without cloud dependency.
Automatic generation of 52+ blendshapes compatible with Apple's ARKit facial tracking.
Shader-level control over skin roughness, subsurface scattering, and aging parameters derived from the source photo.
Ability to extract facial landmarks and demographic features (age/gender estimation) alongside the mesh.
Players want to play as themselves, but manual 3D modeling for thousands of users is impossible.
Registry Updated:2/7/2026
Generic avatars reduce immersion and emotional engagement in professional simulations.
Consumers cannot visualize how glasses or hats look on their own faces.