Assembling a Pipeline for 3D Face Interpolation
Yusuke Niiro, Marcelo Kallmann

TL;DR
This paper presents an open-source pipeline that enables the creation of 3D face animations from two images by constructing, texturing, and interpolating 3D facial models.
Contribution
It introduces a practical, accessible method for 3D face interpolation using open source tools, facilitating easy creation of facial animations from minimal input.
Findings
Successfully generates 3D face animations from two images.
Utilizes open source tools for model construction and interpolation.
Provides a step-by-step pipeline for 3D face morphing.
Abstract
This paper describes a pipeline built with open source tools for interpolating 3D facial expressions taken from images. The presented approach allows anyone to create 3D face animations from 2 input photos: one from the start face expression, and the other from the final face expression. Given the input photos, corresponding 3D face models are constructed and texture-mapped using the photos as textures aligned with facial features. Animations are then generated by morphing the models by interpolation of the geometries and textures of the models. This work was performed as a MS project at the University of California, Merced.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFace recognition and analysis · Human Motion and Animation · 3D Shape Modeling and Analysis
