Papers with Code 아카이브
Head Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Сделай так, что бы оба человека на фотографии смотрели в центр экрана телефона
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Ascend-Research/HeadPoseEstimation-WHENet
공식 코드WHENet: Real-time Fine-Grained Estimation for Wide Range Head Pose
https://github.com/Kartik-3004/facexformer
공식 코드https://github.com/MCG-NJU/SADRNet
공식 코드https://github.com/MarekKowalski/HoloFace
공식 코드HoloFace: Augmenting Human-to-Human Interactions on HoloLens
https://github.com/MingzhenShao/HeadPose
공식 코드Improving Head Pose Estimation with a Combined Loss and Bounding Box Margin Adjustment
https://github.com/PinataFarms/DAD-3DHeads
공식 코드https://github.com/aliprf/ASMNet
공식 코드ASMNet: a Lightweight Deep Neural Network for Face Alignment and Pose Estimation
https://github.com/andresprados/spiga
공식 코드Shape Preserving Facial Landmarks with Graph Attention Networks
https://github.com/asw91666/trg-release
공식 코드6DoF Head Pose Estimation through Explicit Bidirectional Interaction with Face Geometry
https://github.com/axeber01/dold
공식 코드https://github.com/bchimagine/real_time_fetal_brain_segmentation
공식 코드Deep Learning Framework for Real-time Fetal Brain Segmentation in MRI
https://github.com/bidalab/improve
공식 코드https://github.com/bobetocalo/bobetocalo_pami20
공식 코드https://github.com/cantarinigiorgio/HHP-Net
공식 코드HHP-Net: A light Heteroscedastic neural network for Head Pose estimation with uncertainty
https://github.com/cbsropenproject/6dof_face
공식 코드https://github.com/choyingw/SynergyNet
공식 코드Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
https://github.com/dreammr/pcl
공식 코드Pose-disentangled Contrastive Learning for Self-supervised Facial Representation
https://github.com/fengyuentau/pytorch-flops
공식 코드https://github.com/flakeua/bachelorsthesis
공식 코드Appearance-based gaze estimation enhanced with synthetic images using deep neural networks
https://github.com/fregu856/ebms_regression
공식 코드https://github.com/gaobb/DLDL
공식 코드https://github.com/haofanwang/accurate-head-pose
공식 코드https://github.com/hnuzhy/directmhp
공식 코드DirectMHP: Direct 2D Multi-Person Head Pose Estimation with Full-range Angles
https://github.com/hnuzhy/semiuhpe
공식 코드Semi-Supervised Unconstrained Head Pose Estimation in the Wild
https://github.com/jswati31/cuda-ghr
공식 코드CUDA-GHR: Controllable Unsupervised Domain Adaptation for Gaze and Head Redirection
https://github.com/learninginvision/spu
공식 코드Self-Paced Deep Regression Forests with Consideration of Ranking Fairness
https://github.com/lhyfst/dsfnet
공식 코드DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment
https://github.com/lyp-deeplearning/mos-multi-task-face-detect
공식 코드https://github.com/masadcv/PROPEL
공식 코드PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks
https://github.com/natanielruiz/deep-head-pose
공식 코드https://github.com/opentrack/neuralnet-tracker-traincode
공식 코드https://github.com/pcr-upm/opal23_headpose
공식 코드On the representation and methodology for wide and short range head pose estimation
https://github.com/rafabs97/headpose_final
공식 코드RealHePoNet: a robust single-stage ConvNet for head pose estimation in the wild
https://github.com/seathiefwang/RankHeadPose
공식 코드RankPose: Learning Generalised Feature with Rank Supervision for Head Pose Estimation
https://github.com/sipg-isr/Occlusion_HPE
공식 코드2D Image head pose estimation via latent space regression under occlusion settings
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.