https://github.com/jiaxiangshang/MGCNet
공식 코드Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Face reconstruction is the task of recovering the facial geometry of a face from an image.
<span style="color:grey; opacity: 0.6">( Image credit: Microsoft Deep3DFaceReconstruction )</span>
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency
Face Reconstruction Transfer Attack as Out-of-Distribution Generalization
AvatarMe: Realistically Renderable 3D Facial Reconstruction "in-the-wild"
FaceVerse: a Fine-grained and Detail-controllable 3D Face Morphable Model from a Hybrid Dataset
ImFace++: A Sophisticated Nonlinear 3D Morphable Face Model with Implicit Neural Representations
MobileFace: 3D Face Reconstruction with Efficient CNN Regression
Unveiling the Two-Faced Truth: Disentangling Morphed Identities for Face Morphing Detection
Darker than Black-Box: Face Reconstruction from Similarity Queries
TIFace: Improving Facial Reconstruction through Tensorial Radiance Fields and Implicit Surfaces
3D Face Reconstruction Error Decomposed: A Modular Benchmark for Fair and Fast Method Evaluation
3D Facial Imperfection Regeneration: Deep learning approach and 3D printing prototypes
Face Reconstruction with Variational Autoencoder and Face Masks
Robust Model-based Face Reconstruction through Weakly-Supervised Outlier Segmentation
3D Face Reconstruction with the Geometric Guidance of Facial Part Segmentation
S2TD-Face: Reconstruct a Detailed 3D Face with Controllable Texture from a Single Sketch
From 2D Images to 3D Model:Weakly Supervised Multi-View Face Reconstruction with Deep Fusion
RestoreFormer: High-Quality Blind Face Restoration from Undegraded Key-Value Pairs
FaceScape: 3D Facial Dataset and Benchmark for Single-View 3D Face Reconstruction
RAFaRe: Learning Robust and Accurate Non-parametric 3D Face Reconstruction from Pseudo 2D&3D Pairs
Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs
TIFace: Improving Facial Reconstruction through Tensorial Radiance Fields and Implicit Surfaces
Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network
3D Face Reconstruction from A Single Image Assisted by 2D Face Images in the Wild
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.