3D Face Modelling
21 papers with code • 2 benchmarks • 4 datasets
Benchmarks
These leaderboards are used to track progress in 3D Face Modelling
| Trend | Dataset | Best Model | Paper | Code | Compare |
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LFW
Human Optical Flow
FaMoS
Voxceleb-3D
Most implemented papers
A Robust Multilinear Model Learning Framework for 3D Faces
Multilinear models are widely used to represent the statistical variations of 3D human faces as they decouple shape changes due to identity and expression.
3D Face From X: Learning Face Shape from Diverse Sources
Although 3D scanned data contain accurate geometric information of face shapes, the capture system is expensive and such datasets usually contain a small number of subjects.
3D Face Modeling From Diverse Raw Scan Data
Traditional 3D face models learn a latent representation of faces using linear subspaces from limited scans of a single database.
Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images
Hangz-nju-cuhk/Rotate-and-Render
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CVPR 2020
Though face rotation has achieved rapid progress in recent years, the lack of high-quality paired training data remains a great hurdle for existing methods.
GIF: Generative Interpretable Faces
ParthaEth/GIF
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Specifically, we condition StyleGAN2 on FLAME, a generative 3D face model.
Accurate 3D Facial Geometry Prediction by Multi-Task, Multi-Modal, and Multi-Representation Landmark Refinement Network
This work focuses on complete 3D facial geometry prediction, including 3D facial alignment via 3D face modeling and face orientation estimation using the proposed multi-task, multi-modal, and multi-representation landmark refinement network (M$^3$-LRN).
Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo Collection
TencentYoutuResearch/3DFaceReconstruction-LAP
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CVPR 2021
Non-parametric face modeling aims to reconstruct 3D face only from images without shape assumptions.
CoNeRF: Controllable Neural Radiance Fields
kacperkan/conerf
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CVPR 2022
We extend neural 3D representations to allow for intuitive and interpretable user control beyond novel view rendering (i. e. camera control).
Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices?
choyingw/Voice2Mesh
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CVPR 2022
This work digs into a root question in human perception: can face geometry be gleaned from one's voices?
Controllable 3D Generative Adversarial Face Model via Disentangling Shape and Appearance
3D face modeling has been an active area of research in computer vision and computer graphics, fueling applications ranging from facial expression transfer in virtual avatars to synthetic data generation.
