Neural radiance fields (NeRFs) refer to a suit of deep neural networks that are used to learn
and represent objects or scenes. Generally speaking, NeRFs have five main characters …

Abstract We introduce Gaussian Articulated Template Model (GART) an explicit efficient and
expressive representation for non-rigid articulated subject capturing and rendering from …

Real-time rendering of photorealistic and controllable human avatars stands as a
cornerstone in Computer Vision and Graphics. While recent advances in neural implicit …

Generating controllable and photorealistic digital human avatars is a long-standing and
important problem in Vision and Graphics. Recent methods have shown great progress in …

Recent progress in neural rendering has brought forth pioneering methods, such as NeRF
and Gaussian Splatting, which revolutionize view rendering across various domains like …

Rendering scenes observed in a monocular video from novel viewpoints is a challenging
problem. For static scenes the community has studied both scene-specific optimization …

Creating controllable, photorealistic, and geometrically detailed digital doubles of real
humans solely from video data is a key challenge in Computer Graphics and Vision …

Clothing is an important part of human appearance but challenging to model in
photorealistic avatars. In this work we present avatars with dynamically moving loose …

Personalized 3D avatars require an animatable representation of digital humans. Doing so
instantly from monocular videos offers scalability to broad class of users and wide-scale …

While recent advancements in animatable human rendering have achieved remarkable
results, they require test-time optimization for each subject which can be a significant …