GPAvatar: High-fidelity Head Avatars by Learning Efficient Gaussian Projections

Wei-Qi Feng; Dong Han; Ze-Kang Zhou; Shunkai Li; Xiaoqiang Liu; Pengfei Wan; Di Zhang; Miao Wang

doi:10.1109/cvpr52734.2025.00032

CVPR2025顶会

GPAvatar: High-fidelity Head Avatars by Learning Efficient Gaussian Projections

Wei-Qi Feng, Dong Han, Ze-Kang Zhou, Shunkai Li, Xiaoqiang Liu, Pengfei Wan, Di Zhang, Miao Wang

DOI 出版方

2025年份

2顶会引用

摘要

The bubble size indicates memory usage. Quality, Speed and Memory Usage Figure 1. Left and Middle: A monocular portrait video of an individual is used to reconstruct a 4D avatar, facilitating novel-view synthesis and facial reenactment. Right: Our method is compared with state-of-the-art approaches in terms of visual quality, rendering speed and memory usage, showcasing superior rendering quality coupled with computational efficiency and minimal memory usage.