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The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.
| Date | Stars |
|---|---|
| 2026-07-24 | 3677 |
| 2026-07-25 | 3677 |
| 2026-07-28 | 3678 |
| 2026-07-30 | 3678 |
| 2026-08-06 | 3678 |
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# Face Alignment in Full Pose Range: A 3D Total Solution [](LICENSE)    <!-- By [Jianzhu Guo](https://guojianzhu.com/aboutme.html). --> By [Jianzhu Guo](http://guojianzhu.com). <p align="center"> <img src="samples/obama_three_styles.gif" alt="obama"> </p> **\[Updates\]** - `2022.5.14`: Recommend a python implementation of face profiling: [face_pose_augmentation](https://github.com/hhj1897/face_pose_augmentation). - `2020.8.30`: The pre-trained model and code of ECCV-20 are made public on [3DDFA_V2](https://github.com/cleardusk/3DDFA_V2), the copyright is explained by Jianzhu Guo and the CBSR group. - `2020.8.2`: Update a <strong>[simple c++ port](./c++/readme.md)</strong> of this project. - `2020.7.3`: The extended work <strong>[Towards Fast, Accurate and Stable 3D Dense Face Alignment](https://guojianzhu.com/assets/pdfs/3162.pdf)</strong> is accepted by [ECCV 2020](https://eccv2020.eu/). See [my page](https://guojianzhu.com) for more details. - `2019.9.15`: Some updates, see the commits for details. - `2019.6.17`: Adding a [video demo](./video_demo.py) contributed by [zjjMaiMai](https://github.com/zjjMaiMai). - `2019.5.2`: Evaluating inference speed on CPU with PyTorch v1.1.0, see [here](#CPU) and [speed_cpu.py](./speed_cpu.py). - `2019.4.27`: A simple render pipeline running at ~25ms/frame (720p), see [rendering.py](demo@obama/rendering.py) for more details. - `2019.4.24`: Providing the demo building of obama, see [demo@obama/readme.md](demo@obama/readme.md) for more details. - `2019.3.28`: Some updates. - `2018.12.23`: **Add several features: depth image estimation, PNCC, PAF feature and obj serialization.** See `dump_depth`, `dump_pncc`, `dump_paf`, `dump_obj` options for more details. - `2018.12.2`: Support landmark-free face cropping, see `dlib_landmark` option. - `2018.12.1`: Refine code and add pose estimation feature, see [utils/estimate_pose.py](./utils/estimate_pose.py) for more details. - `2018.11.17`: Refine code and map the 3d vertex to original image space. - `2018.11.11`: **Update end-to-end inference pipeline: infer/serialize 3D face shape and 68 landmarks given one arbitrary image, please see readme.md below for more details.** - `2018.10.4`: Add Matlab face mesh rendering demo in [visualize](./visualize). - `2018.9.9`: Add pre-process of face cropping in [benchmark](./benchmark). **\[Todo\]** - [x] Add c++ port. - [x] Depth image estimation. - [x] PNCC (Projected Normalized Coordinate Code). - [x] PAF (Pose Adaptive Feature). - [x] Obj serialization with sampled texture. - [x] Recommendation of fast face detectors: [FaceBoxes.PyTorch](https://github.com/zisianw/FaceBoxes.PyTorch), [libfacedetection](https://github.com/ShiqiYu/libfacedetection), [ZQCNN](https://github.com/zuoqing1988/ZQCNN) - [x] [Training details](#Training-details) - [x] Face Profiling: [Official Matlab code](https://drive.google.com/open?id=1f4686yak4lGHLD6MfIiX5knVtq8a762d), [Python version](https://github.com/hhj1897/face_pose_augmentation) <!--(http://www.cbsr.ia.ac.cn/users/xiangyuzhu/projects/3DDFA/Code/FaceProfilingRelease_v1.1.zip) --> ## Introduction This repo holds the pytorch improved version of the paper: [Face Alignment in Full Pose Range: A 3D Total Solution](https://arxiv.org/abs/1804.01005). Several works beyond the original paper are added, including the real-time training, training strategies. Therefore, this repo is an improved version of the original work. As far, this repo releases the pre-trained first-stage pytorch models of MobileNet-V1 structure, the pre-processed training&testing dataset and codebase. Note that the inference time is about **0.27ms per image** (input batch with 128 images as an inp
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Jianzhu Guo · ByteDance << @KlingTeam, Kuaishou << PhD@CASIA
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William (Bill) · Canada
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Atsuo Shiraki · Japan
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Tim Gates · IRESS · Australia
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:747d0fdbdffe5faf, topic:deep-learning, topic:pytorch
matched fp:747d0fdbdffe5faf, topic:computer-vision, readme:pose estimation