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3D Face Reconstruction
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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 reconstruction is to reconstruct a digital 3D representation of a person's face, which can be used for various applications such as animation, virtual reality, and biometric identification.
<span style="color:grey; opacity: 0.6">( Image credit: 3DDFA_V2 )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Fake It Without Making It: Conditioned Face Generation for Accurate 3D Face Reconstruction
FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields
Facial Landmark Detection Evaluation on MOBIO Database
Audio-Driven 3D Facial Animation from In-the-Wild Videos
Instant Multi-View Head Capture through Learnable Registration
FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models
DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment
AVFace: Towards Detailed Audio-Visual 4D Face Reconstruction
Unsupervised Style-based Explicit 3D Face Reconstruction from Single Image
Towards Realistic Generative 3D Face Models
ASM: Adaptive Skinning Model for High-Quality 3D Face Modeling
Face Animation with an Attribute-Guided Diffusion Model
HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and Dynamic Details
A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction from In-The-Wild Images
RAFaRe: Learning Robust and Accurate Non-parametric 3D Face Reconstruction from Pseudo 2D&3D Pairs
3D Face Reconstruction for Forensic Recognition -- A Survey
Self-Supervised Geometry-Aware Encoder for Style-Based 3D GAN Inversion
FFHQ-UV: Normalized Facial UV-Texture Dataset for 3D Face Reconstruction
Generating 2D and 3D Master Faces for Dictionary Attacks with a Network-Assisted Latent Space Evolution
Facial Action Units Detection Aided by Global-Local Expression Embedding
BareSkinNet: De-makeup and De-lighting via 3D Face Reconstruction
Learning to regulate 3D head shape by removing occluding hair from in-the-wild images
Perspective Reconstruction of Human Faces by Joint Mesh and Landmark Regression
FDNeRF: Few-shot Dynamic Neural Radiance Fields for Face Reconstruction and Expression Editing
Visual Speech-Aware Perceptual 3D Facial Expression Reconstruction from Videos
GAN2X: Non-Lambertian Inverse Rendering of Image GANs
KeypointNeRF: Generalizing Image-based Volumetric Avatars using Relative Spatial Encoding of Keypoints
Towards 3D Face Reconstruction in Perspective Projection: Estimating 6DoF Face Pose from Monocular Image
EMOCA: Emotion Driven Monocular Face Capture and Animation
Towards Metrical Reconstruction of Human Faces
From 2D Images to 3D Model:Weakly Supervised Multi-View Face Reconstruction with Deep Fusion
3D face reconstruction with dense landmarks
FaceVerse: a Fine-grained and Detail-controllable 3D Face Morphable Model from a Hybrid Dataset
REALY: Rethinking the Evaluation of 3D Face Reconstruction
Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices?
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