The fidelity of relighting is bounded by both geometry and appearance representations. For
geometry both mesh and volumetric approaches have difficulty modeling intricate structures …

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 …

Face reconstruction and tracking is a building block of numerous applications in AR/VR,
human-machine interaction, as well as medical applications. Most of these applications rely …

Emerging Metaverse applications demand accessible, accurate, and easy-to-use tools for
3D digital human creations in order to depict different cultures and societies as if in the …

Generating 3D faces from textual descriptions has a multitude of applications, such as
gaming, movie and robotics. Recent progresses have demonstrated the success of …

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 …

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 …

We present a 3D-aware one-shot head reenactment method based on a fully volumetric
neural disentanglement framework for source appearance and driver expressions. Our …