https://github.com/deepinsight/insightface
공식 코드Perspective Reconstruction of Human Faces by Joint Mesh and Landmark Regression
Papers with Code 아카이브
Face Reconstruction
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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>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/face3d0725/face_de_mask
공식 코드https://github.com/facebookresearch/KeypointNeRF
공식 코드https://github.com/fdnerf/fdnerf
공식 코드FDNeRF: Few-shot Dynamic Neural Radiance Fields for Face Reconstruction and Expression Editing
https://github.com/fengju514/Expression-Net
공식 코드https://github.com/filby89/spectre
공식 코드Visual Speech-Aware Perceptual 3D Facial Expression Reconstruction from Videos
https://github.com/google/tf_mesh_renderer
공식 코드https://github.com/haoxin917/3dface
공식 코드3D Face Reconstruction Using A Spectral-Based Graph Convolution Encoder
https://github.com/jiarenchang/facecycle
공식 코드Learning Facial Representations from the Cycle-consistency of Face
https://github.com/jiaxiangshang/MGCNet
공식 코드Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency
https://github.com/jungyg/alsuv
공식 코드Face Reconstruction Transfer Attack as Out-of-Distribution Generalization
https://github.com/kalyo-zjl/WM3DR
공식 코드https://github.com/lattas/avatarme
공식 코드AvatarMe: Realistically Renderable 3D Facial Reconstruction "in-the-wild"
https://github.com/lhyfst/dsfnet
공식 코드DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment
https://github.com/liuf1990/3DFC
공식 코드https://github.com/lizhenwangt/faceverse
공식 코드FaceVerse: a Fine-grained and Detail-controllable 3D Face Morphable Model from a Hybrid Dataset
https://github.com/matansel/pix2vertex
공식 코드Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation
https://github.com/mingwuzheng/imface
공식 코드ImFace++: A Sophisticated Nonlinear 3D Morphable Face Model with Implicit Neural Representations
https://github.com/nchinaev/MobileFace
공식 코드MobileFace: 3D Face Reconstruction with Efficient CNN Regression
https://github.com/netopedro/idistill
공식 코드Unveiling the Two-Faced Truth: Disentangling Morphed Identities for Face Morphing Detection
https://github.com/papermsucode/fullbboxrestoration
공식 코드Darker than Black-Box: Face Reconstruction from Similarity Queries
https://github.com/radekd91/emoca
공식 코드https://github.com/rohit7044/3D-GANTex
공식 코드https://github.com/ruijiezhu94/ti-face
공식 코드TIFace: Improving Facial Reconstruction through Tensorial Radiance Fields and Implicit Surfaces
https://github.com/sariyanidi/M3DFB
공식 코드3D Face Reconstruction Error Decomposed: A Modular Benchmark for Fair and Fast Method Evaluation
https://github.com/simogroup/3dfair
공식 코드3D Facial Imperfection Regeneration: Deep learning approach and 3D printing prototypes
https://github.com/tldrafael/facereconstructionwithvaeandfacemasks
공식 코드Face Reconstruction with Variational Autoencoder and Face Masks
https://github.com/unibas-gravis/Occlusion-Robust-MoFA
공식 코드Robust Model-based Face Reconstruction through Weakly-Supervised Outlier Segmentation
https://github.com/vchoutas/expose
공식 코드Monocular Expressive Body Regression through Body-Driven Attention
https://github.com/wang-zidu/3ddfa-v3
공식 코드3D Face Reconstruction with the Geometric Guidance of Facial Part Segmentation
https://github.com/wang-zidu/s2td-face
공식 코드S2TD-Face: Reconstruct a Detailed 3D Face with Controllable Texture from a Single Sketch
https://github.com/wangxuan2401/3dfacerecon
공식 코드https://github.com/weiguangzhao/df_mvr
공식 코드From 2D Images to 3D Model:Weakly Supervised Multi-View Face Reconstruction with Deep Fusion
https://github.com/wzhouxiff/restoreformer
공식 코드RestoreFormer: High-Quality Blind Face Restoration from Undegraded Key-Value Pairs
https://github.com/yaojieliu/ICCVW2017-DenseFaceAlignment
공식 코드https://github.com/ymx2022/3dfacetexture
공식 코드Self-supervised Re-renderable Facial Albedo Reconstruction from Single Image
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.