43 citations · 107 across the 19 of their papers we have counts for
6 papers · 1 filter
Neural Assets: Volumetric Object Capture and Rendering for Interactive Environments
Aljaž Božič, Denis Gladkov, Luke Doukakis +1
Creating realistic virtual assets is a time-consuming process: it usually involves an artist designing the object, then spending a lot of effort on tweaking its appearance. Intrica…
SSDNeRF: Semantic Soft Decomposition of Neural Radiance Fields
Siddhant Ranade, Christoph Lassner, Kai Li +4
Neural Radiance Fields (NeRFs) encode the radiance in a scene parameterized by the scene's plenoptic function. This is achieved by using an MLP together with a mapping to a higher-…
NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation
Ziyan Wang, Giljoo Nam, Tuur Stuyck +6
The capture and animation of human hair are two of the major challenges in the creation of realistic avatars for the virtual reality. Both problems are highly challenging, because…
TAVA: Template-free Animatable Volumetric Actors
Ruilong Li, Julian Tanke, Minh Vo +4
Coordinate-based volumetric representations have the potential to generate photo-realistic virtual avatars from images. However, virtual avatars also need to be controllable even t…
Self-supervised Neural Articulated Shape and Appearance Models
Fangyin Wei, Rohan Chabra, Lingni Ma +6
Learning geometry, motion, and appearance priors of object classes is important for the solution of a large variety of computer vision problems. While the majority of approaches ha…
Virtual Elastic Objects
Hsiao-yu Chen, Edgar Tretschk, Tuur Stuyck +4
We present Virtual Elastic Objects (VEOs): virtual objects that not only look like their real-world counterparts but also behave like them, even when subject to novel interactions.…