Recent methods for neural surface representation and rendering, for example NeuS, have
demonstrated the remarkably high-quality reconstruction of static scenes. However, the …

Representing human performance at high-fidelity is an essential building block in diverse
applications, such as film production, computer games or videoconferencing. To close the …

The success of the Neural Radiance Fields (NeRFs) for modeling and free-view rendering
static objects has inspired numerous attempts on dynamic scenes. Current techniques that …

We have recently seen tremendous progress in the neural advances for photo-real human
modeling and rendering. However, it's still challenging to integrate them into an existing …

Neural Radiance Fields (NeRFs) have revolutionized novel view synthesis for captured
scenes, with recent methods allowing interactive free-viewpoint navigation and fast training …

Recent years have witnessed the tremendous progress of 3D GANs for generating view-
consistent radiance fields with photo-realism. Yet, high-quality generation of human …

Humans constantly interact with objects in daily life tasks. Capturing such processes and
subsequently conducting visual inferences from a fixed viewpoint suffers from occlusions …

Convenient 4D modeling of human-object interactions is essential for numerous
applications. However, monocular tracking and rendering of complex interaction scenarios …

The human hand is the main medium through which we interact with our surroundings,
making its digitization an important problem. While there are several works modeling the …

With the emergence of neural radiance fields (NeRFs), view synthesis quality has reached
an unprecedented level. Compared to traditional mesh-based assets, this volumetric …