HAHA: Highly Articulated Gaussian Human Avatars with Textured Mesh Prior

arXiv:2404.01053v1 Announce Type: new
Abstract: We present HAHA - a novel approach for animatable human avatar generation from monocular input videos. The proposed method relies on learning the trade-off between the use of Gaussian splatting and a textured mesh for efficient and high fidelity rendering. We demonstrate its efficiency to animate and render full-body human avatars controlled via the SMPL-X parametric model. Our model learns to apply Gaussian splatting only in areas of the SMPL-X mesh where it is necessary, …

abstract arxiv avatar avatars cs.cv efficiency fidelity human mesh novel prior rendering trade trade-off type videos