In this paper, we introduce FitMe, a facial reflectance model and a differentiable rendering
optimization pipeline, that can be used to acquire high-fidelity renderable human avatars …

Following the remarkable success of diffusion models on image generation, recent works
have also demonstrated their impressive ability to address a number of inverse problems in …

Facial information plays an important role in human communication, eg, rich and nuanced
facial expressions effectively convey emotions. Traditional data such as 2D facial images …

The field of photorealistic 3D avatar reconstruction and generation has garnered significant
attention in recent years; however, animating such avatars remains challenging. Recent …

In the realm of 3D computer vision, parametric models have emerged as a ground-breaking
methodology for the creation of realistic and expressive 3D avatars. Traditionally, they rely …

In the literature, several 3D face datasets have been collected, aiming at advancing the field
of 3D face analysis from different perspectives. Data collection generally follows specific …

In this article, we present a novel approach for emotional speech lip-reading (EMOLIPS).
This two-level approach to emotional speech to text recognition based on visual data …

Generating speech-driven 3D talking heads presents numerous challenges; among those is
dealing with varying mesh topologies. Existing methods require a registered setting, where …

The pipeline for creating high-fidelity facial models often utilizes multi-view stereo
techniques for reconstruction. However, the sub-sequent step of retopology often involves …