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

Existing photorealistic relightable hand models require extensive identity-specific
observations in different views poses and illuminations and face challenges in generalizing …

Existing NeRF-based inverse rendering methods suppose that scenes are exclusively
illuminated by distant light sources neglecting the potential influence of emissive sources …

An increasingly common approach for creating photo-realistic digital avatars is through the
use of volumetric neural fields. The original neural radiance field (NeRF) allowed for …

Professional artists, photographers, and other visual content creators use object relighting to
establish their photo's desired effect. Unfortunately, manual tools that allow relighting have a …

Relighting radiance fields is severely underconstrained for multi-view data, which is most
often captured under a single illumination condition; It is especially hard for full scenes …

Neural Radiance Field (NeRF), as an implicit 3D scene representation, lacks inherent ability
to accommodate changes made to the initial static scene. If objects are reconfigured, it is …

The radio wave propagation channel is central to the performance of wireless
communication systems. In this paper, we introduce a novel machine learning-empowered …

Decoupling the illumination in 3D scenes is crucial for novel view synthesis and relighting. In
this paper, we propose a novel method for representing a scene illuminated by a point light …

Real-time effects achieved by path tracing are essential for creating highly accurate
illumination effects in interactive environments. However, due to its computational …