Recent work on radiance fields and volumetric inverse rendering (eg, NeRFs) has provided
excellent results in building data-driven models of real scenes for novel view synthesis with …

NeRFs have enabled highly realistic synthesis of human faces including complex
appearance and reflectance effects of hair and skin. These methods typically require a large …

We present the first neural relighting approach for rendering high-fidelity personalized
hands that can be animated in real-time under novel illumination. Our approach adopts a …

Human modeling and relighting are two fundamental problems in computer vision and
graphics, where high-quality datasets can largely facilitate related research. However, most …

We propose GazeNeRF, a 3D-aware method for the task of gaze redirection. Existing gaze
redirection methods operate on 2D images and struggle to generate 3D consistent results …

Realistic face rendering from multi-view images is beneficial to various computer vision and
graphics applications. Due to the complex spatially-varying reflectance properties and …

Reconstructing models of the real world, including 3D geometry, appearance, and motion of
real scenes, is essential for computer graphics and computer vision. It enables the …

We present a new approach to creating photorealistic and relightable head avatars from a
phone scan with unknown illumination. The reconstructed avatars can be animated and relit …

Creating a controllable and relightable digital avatar from multi-view video with fixed
illumination is a very challenging problem since humans are highly articulated, creating …

Recently, implicit neural representation has been widely used to learn the appearance of
human bodies in the canonical space, which can be further animated using a parametric …