Papers with Code 아카이브

3D Face Alignment

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평가표

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보존된 평가 기록

2

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/1adrianb/binary-networks-pytorch

공식 코드

Hierarchical binary CNNs for landmark localization with limited resources

https://github.com/1adrianb/face-alignment

공식 코드

Two-stage Convolutional Part Heatmap Regression for the 1st 3D Face Alignment in the Wild (3DFAW) Challenge

https://github.com/LeiJiangJNU/DAMDNet

공식 코드

Dual Attention MobDenseNet(DAMDNet) for Robust 3D Face Alignment

https://github.com/MCG-NJU/SADRNet

공식 코드

SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction

https://github.com/TimoBolkart/TEMPEH

공식 코드

Instant Multi-View Head Capture through Learnable Registration

https://github.com/YadiraF/DECA

공식 코드

Learning an Animatable Detailed 3D Face Model from In-The-Wild Images

https://github.com/choyingw/SynergyNet

공식 코드

Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry

https://github.com/fengju514/Face-Pose-Net

공식 코드

FacePoseNet: Making a Case for Landmark-Free Face Alignment

https://github.com/rlit/LatentRANSAC

공식 코드

Latent RANSAC

https://github.com/vitoralbiero/img2pose

공식 코드

img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation

https://gitee.com/gai-shaoyan/mind3d

Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry

https://github.com/1adrianb/2D-and-3D-face-alignment

How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)

https://github.com/1adrianb/face-alignment-training

How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)

https://github.com/GuohongLi/face-alignment-pytorch

How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)

https://github.com/Hikaylee/SynergyNet

Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry

https://github.com/Recognito-Vision/Android-FaceRecognition-FaceLivenessDetection

FacePoseNet: Making a Case for Landmark-Free Face Alignment

https://github.com/fengju514/Expression-Net

FacePoseNet: Making a Case for Landmark-Free Face Alignment

https://github.com/hzh8311/pyhowfar

How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)

https://github.com/iacopomasi/face_specific_augm

FacePoseNet: Making a Case for Landmark-Free Face Alignment

https://github.com/jkvt2/Latent-Pose-Descriptors

How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)

https://github.com/lippman1125/pytorch_FAN

How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)

https://github.com/nilseuropa/ros_img2pose

img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation

https://github.com/nova26/facePoseEstimation

FacePoseNet: Making a Case for Landmark-Free Face Alignment

https://github.com/tanmaysingha/2D-3D-FAN

How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)

https://github.com/tomas-gajarsky/facetorch

Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry

https://github.com/yfeng95/deca

Learning an Animatable Detailed 3D Face Model from In-The-Wild Images

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.