14 citations · 14 across the 3 of their papers we have counts for
5 papers
emg2face: Expressive Facial Animation with High-Density Surface EMG
Ganidhu Abey, Wendy Greening, Ashika Kamboj +5
Facial movements convey subtle and important information that is critical for human social communication. Optical methods for face capture are difficult or impossible to use when t…
LegacyAvatars: Volumetric Face Avatars For Traditional Graphics Pipelines
Safa C. Medin, Gengyan Li, Ziqian Bai +8
We introduce a novel representation for efficient classical rendering of photorealistic 3D face avatars. Leveraging recent advances in radiance fields anchored to parametric face m…
Text To 3D Object Generation For Scalable Room Assembly
Sonia Laguna, Alberto Garcia-Garcia, Marie-Julie Rakotosaona +3
Modern machine learning models for scene understanding, such as depth estimation and object tracking, rely on large, high-quality datasets that mimic real-world deployment scenario…
Cafca: High-quality Novel View Synthesis of Expressive Faces from Casual Few-shot Captures
Marcel C. Bühler, Gengyan Li, Erroll Wood +13
Volumetric modeling and neural radiance field representations have revolutionized 3D face capture and photorealistic novel view synthesis. However, these methods often require hund…
Preface: A Data-driven Volumetric Prior for Few-shot Ultra High-resolution Face Synthesis
Marcel C. Bühler, Kripasindhu Sarkar, Tanmay Shah +8
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 number o…