3d face reconstruction
3D Face Reconstruction is a computer vision task that involves creating a 3D model of a human face from a 2D image or a set of images. The goal of 3D face ... ,由 S Sharma 著作 · 2022 · 被引用 52 次 — This paper explores the various aspects of 3D face reconstruction techniques. Five techniques have been discussed, namely, deep learning, epipolar geometry, ... ,由 Z Wang 著作 · 2023 · 被引用 2 次 — In this paper, we fully utilize the facial part segmentation geometry by introducing Part Re-projection Distance Loss (PRDL). Specifically, PRDL ... ,2021年7月20日 — The method enforces a hybrid-level weakly-supervised training for CNN-based 3D face reconstruction. It is fast, accurate, and robust to pose and ... ,In this paper, we aim at high-fidelity 3D face reconstruction and propose HiFace to explicitly model the static and dynamic details. ,2023年4月25日 — The method enforces a hybrid-level weakly-supervised training for CNN-based 3D face reconstruction. It is fast, accurate, and robust to pose and occlussions. ,2024年4月24日 — This state-of-the-art report summarizes recent trends in monocular facial performance capture and discusses its applications.
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 3d face reconstruction 相關參考資料
3D Face Reconstruction
3D Face Reconstruction is a computer vision task that involves creating a 3D model of a human face from a 2D image or a set of images. The goal of 3D face ... https://paperswithcode.com 3D Face Reconstruction in Deep Learning Era: A Survey
由 S Sharma 著作 · 2022 · 被引用 52 次 — This paper explores the various aspects of 3D face reconstruction techniques. Five techniques have been discussed, namely, deep learning, epipolar geometry, ...... https://link.springer.com 3D Face Reconstruction with the Geometric Guidance of ...
由 Z Wang 著作 · 2023 · 被引用 2 次 — In this paper, we fully utilize the facial part segmentation geometry by introducing Part Re-projection Distance Loss (PRDL). Specifically, PRDL ... https://arxiv.org Accurate 3D Face Reconstruction with Weakly-Supervised ...
2021年7月20日 — The method enforces a hybrid-level weakly-supervised training for CNN-based 3D face reconstruction. It is fast, accurate, and robust to pose and ... https://github.com HiFace: High-Fidelity 3D Face Reconstruction by Learning ...
In this paper, we aim at high-fidelity 3D face reconstruction and propose HiFace to explicitly model the static and dynamic details. https://project-hiface.github. sicxuDeep3DFaceRecon_pytorch: Accurate 3D Face ...
2023年4月25日 — The method enforces a hybrid-level weakly-supervised training for CNN-based 3D face reconstruction. It is fast, accurate, and robust to pose and occlussions. https://github.com State of the Art on Monocular 3D Face Reconstruction ...
2024年4月24日 — This state-of-the-art report summarizes recent trends in monocular facial performance capture and discusses its applications. https://justusthies.github.io |