- Learning an Animatable Detailed 3D Face Model from In-The-Wild Images. (SIGGRAPH2021)
paper:https://arxiv.org/pdf/2012.04012.pdf
talk:https://www.youtube.com/watch?v=osaATR4Q3bo
github: https://github.com/YadiraF/DECA - Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network. (ECCV2018) proposed the UV map paper:https://openaccess.thecvf.com/content_ECCV_2018/papers/Yao_Feng_Joint_3D_Face_ECCV_2018_paper.pdf
- A morphable model for the synthesis of 3d faces (3DMM)
paper:https://dl.acm.org/doi/pdf/10.1145/311535.311556 - Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo Collection (CVPR21)
paper:https://arxiv.org/pdf/2106.07852.pdf
github: https://github.com/TencentYoutuResearch/3DFaceReconstruction-LAP - Inverting Generative Adversarial Renderer for Face Reconstruction (CVPR21)
paper:https://arxiv.org/pdf/2105.02431.pdf
github: https://github.com/WestlyPark/StyleRenderer - Riggable 3D Face Reconstruction via In-Network Optimization (CVPR21)
paepr:https://arxiv.org/abs/2104.03493 - 3DCaricShop: A Dataset and A Baseline Method for Single-view 3D Caricature Face Reconstruction (CVPR21)
paper:https://arxiv.org/pdf/2103.08204.pdf
github: https://github.com/qiuyuda/3DCaricShop - Learning a model of facial shape and expression from 4D scans (FLAME 2017)
paper:https://dl.acm.org/doi/pdf/10.1145/3130800.3130813 - Accurate 3D Face Reconstruction with Weakly-Supervised Learning:
From Single Image to Image Set
paper:https://openaccess.thecvf.com/content_CVPRW_2019/papers/AMFG/Deng_Accurate_3D_Face_Reconstruction_With_Weakly-Supervised_Learning_From_Single_Image_CVPRW_2019_paper.pdf
github:https://github.com/sicxu/Deep3DFaceRecon_pytorch - Face Alignment Across Large Poses: A 3D Solution (3DDFA,NCC,PNCC,2017)
paper: https://arxiv.org/pdf/1511.07212.pdf
11.To fit or not to fit: Model-based Face Reconstruction and Occlusion Segmentation from Weak Supervision
paper: file:///C:/Users/s00645594/Desktop/2106.09614.pdf
github:https://github.com/unibas-gravis/Occlusion-Robust-MoFA
12.Deep Portrait Lighting Enhancement with 3D Guidance paper: https://arxiv.org/pdf/2108.02121.pdf 13.Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry paper: https://openaccess.thecvf.com/content/CVPR2022/papers/Bae_Multi-View_Depth_Estimation_by_Fusing_Single-View_Depth_Probability_With_Multi-View_CVPR_2022_paper.pdf - REALY: Rethinking the Evaluation of 3D Face Reconstruction
paper: https://arxiv.org/pdf/2203.09729.pdf - Face2Face:Real-Time High-Resolution one-shot face reenactment paper: https://github.com/NetEase-GameAI/Face2FaceRHO/blob/master/paper.pdf
- Learning to Restore 3D Face from In-the-Wild Degraded Images paepr:https://openaccess.thecvf.com/content/CVPR2022/papers/Zhang_Learning_To_Restore_3D_Face_From_In-the-Wild_Degraded_Images_CVPR_2022_paper.pdf
- CelebA:http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html
- LFW:http://vis-www.cs.umass.edu/lfw/
- 300W-LP:http://www.cbsr.ia.ac.cn/users/xiangyuzhu/projects/3DDFA/main.htm
- IJB-A:https://www.nist.gov/programs-projects/face-challenges
- LS3D-W:https://www.adrianbulat.com/face-alignment
- FFHQ:https://github.com/NVlabs/ffhq-dataset
- Florence:http://www.micc.unifi.it/resources/datasets/florence-3d-faces/
- BU-3DFE dataset:http://www.sciweavers.org/subject/bu-3dfe-database
- LS3D-W:https://www.adrianbulat.com/face-alignment
- AFW database:http://www.ics.uci.edu/~xzhu/face/
- UMDFaces dataset:http://umdfaces.io/
- FaceWarehouse:http://kunzhou.net/zjugaps/facewarehouse/
- RFW :http://whdeng.cn/RFW/index.html
Introduction:https://cloud.tencent.com/developer/article/1006396 https://www.youtube.com/watch?v=12vTI18m4_Y
a
- MEgATrack: Monochrome Egocentric Articulated Hand-Tracking for Virtual Reality. (SIGGRAPH2020)
AFLW2000-3D
NoW Benchmark
Stirling-HQ (FG2018 3D face reconstruction challenge)