ASH: Animatable Gaussian Splats for Efficient and Photoreal Human Rendering

arXiv:2312.05941v2 Announce Type: replace
Abstract: Real-time rendering of photorealistic and controllable human avatars stands as a cornerstone in Computer Vision and Graphics. While recent advances in neural implicit rendering have unlocked unprecedented photorealism for digital avatars, real-time performance has mostly been demonstrated for static scenes only. To address this, we propose ASH, an animatable Gaussian splatting approach for photorealistic rendering of dynamic humans in real-time. We parameterize the clothed human as animatable 3D Gaussians, which can be efficiently splatted into …

abstract advances arxiv avatars computer computer vision cs.cv digital digital avatars graphics human performance photorealistic real-time rendering type unlocked vision