ARTICLE AD BOX
I am working on a system that generates a 3D human model based on user-provided attributes such as height, weight, gender, and other physical details. The body model is being created successfully using parametric human modeling techniques.
However, when I provide facial images of the user, the generated model does not accurately reflect the person’s real face. At best, it produces a generic or unclear face rather than mapping the actual facial identity onto the 3D mesh.
My goal is to:
Use one or more 2D face images provided by the user.
Extract the facial features/texture from those images.
Properly align and map that face onto the generated 3D body model.
Preserve identity so the final avatar actually resembles the user.
I am looking for guidance on:
The correct pipeline for converting 2D face images into a usable 3D face representation.
Techniques for facial landmark detection and mesh alignment with an existing parametric body (e.g., SMPL-like models).
Whether this should be solved using texture projection, 3D face reconstruction, or neural rendering approaches.
Recommended libraries, frameworks, or research papers that handle face-to-body model fusion reliably.
I am not looking for UI-related solutions—this is specifically about the computer vision / 3D reconstruction workflow needed to integrate a real face into a generated human mesh.
Any pointers to tools, example implementations, or best practices would be greatly appreciated.
