[2021,微软] Fake It Till You Make It: Face analysis in the wild using synthetic data alone(对数字人渲染,从真实标签render出假图。开源的假图只给了70个2d点,不给模型)
[2022,微软] 3D face reconstruction with dense landmarks(直接完全沿用了自家2021的数据,没有任何改进,不给模型)
[2020,帝国理工] RetinaFace: Single-shot Multi-level Face Localisation in the Wild(将68个面部坐标点转换成三维坐标,并据此得出3DMM参数,进而重建了包含53k个顶点的稠密1k顶点三维网格。开源了但不给点)
[2018,上交/云从] Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network(没细看)
[2015,中科院] Face alignment across large poses: A 3d solution(没细看)
[2016,CMU] Dense 3D face alignment from 2D videos in real-time(没细看)
[2019,谷歌] Real-time facial surface geometry from monocular video on mobile GPUs(3w张真实人脸,用3DMM去fit出假标签,之后数据迭代清洗自循环:模型洗出脏数据,手动微调x和y,更干净的数据再反哺给模型,全程z不洗)
[2020,谷歌] AttentionMesh(直接完全沿用了自家2019的数据,没有任何改进。给了轻量tflite)
[2019,谷歌] Real-time facial surface geometry 只开源了轻量tflite模型,在保证对齐输出的情况下逆向完,发现效果不佳。
[2020,谷歌] AttentionMesh 只开源了轻量tflite模型,小角度下的demo效果不错,贴合较佳;大角度下的效果拉垮: