18 papers · 1 filter
Head Avatars with Dynamic Explicit Hair
Vanessa Sklyarova, Haonan Chen, Berna Kabadayi +8
We present DynHair, a novel method for tracking and modeling dynamic hair for human head avatars. From video input, we reconstruct a dynamic head avatar with an explicit strand-bas…
2D-SuGaR: Surface-Aware Gaussian Splatting for Geometrically Accurate Mesh Reconstruction
Prajwal Gupta C. R., Divyam Sheth, Jinjoo Ha +2
3D Gaussian Splatting (3DGS) has emerged as a powerful technique for generating photorealistic renderings of a scene in real-time. However, the volumetric nature of 3DGS limits its…
3DRealHead: Few-Shot Detailed Head Avatar
Jalees Nehvi, Timo Bolkart, Thabo Beeler +1
The human face is central to communication. For immersive applications, the digital presence of a person should mirror the physical reality, capturing the users idiosyncrasies and…
PhysHead: Simulation-Ready Gaussian Head Avatars
Berna Kabadayi, Vanessa Sklyarova, Wojciech Zielonka +2
Realistic digital avatars require expressive and dynamic hair motion; however, most existing head avatar methods assume rigid hair movement. These methods often fail to disentangle…
CLUTCH: Contextualized Language model for Unlocking Text-Conditioned Hand motion modelling in the wild
Balamurugan Thambiraja, Omid Taheri, Radek Danecek +3
Hands play a central role in daily life, yet modeling natural hand motions remains underexplored. Existing methods that tackle text-to-hand-motion generation or hand animation capt…
NeuralFur: Animal Fur Reconstruction From Multi-View Images
Vanessa Sklyarova, Berna Kabadayi, Anastasios Yiannakidis +3
Reconstructing realistic animal fur geometry from images is a challenging task due to the fine-scale details, self-occlusion, and view-dependent appearance of fur. In contrast to h…