The metaverse is a visual world that blends the physical world and digital world. At present,
the development of the metaverse is still in the early stage, and there lacks a framework for …

Creating photorealistic avatars of existing people currently requires extensive person-
specific data capture, which is usually only accessible to the VFX industry and not the …

We propose ClipFace, a novel self-supervised approach for text-guided editing of textured
3D morphable model of faces. Specifically, we employ user-friendly language prompts to …

The problem of modeling an animatable 3D human head avatar under lightweight setups is
of significant importance but has not been well solved. Existing 3D representations either …

The next step of digital development is the metaverse, which has the potential to drastically
alter how people use technology and expand the range of services available beyond …

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 …

We present a large-scale facial UV-texture dataset that contains over 50,000 high-quality
texture UV-maps with even illuminations, neutral expressions, and cleaned facial regions …

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 …

Over the last years, with the advent of Generative Adversarial Networks (GANs), many face
analysis tasks have accomplished astounding performance, with applications including, but …

Generating random photo-realistic images has experienced tremendous growth during the
past few years due to the advances of the deep convolutional neural networks and …