3D Face Modelling
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/nordlinglab/facealignment-survey
공식 코드A survey and classification of face alignment methods based on face models
https://github.com/nothingelse92/AnchorFace
공식 코드AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses
https://github.com/nowindbutrain/blockshufflelearning
공식 코드https://github.com/npu-rcir/online_ccm
공식 코드Enhanced Robust Tracking Control: An Online Learning Approach
https://github.com/ntavanhoeffelen/daif_carracing
공식 코드Deep Active Inference for Pixel-Based Discrete Control: Evaluation on the Car Racing Problem
https://github.com/ntubiolin/xcos
공식 코드xCos: An Explainable Cosine Metric for Face Verification Task
https://github.com/nuriachandra/deepfake-eval-2024
공식 코드Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024
https://github.com/nvedant07/Fairness-Through-Robustness
공식 코드Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning
https://github.com/nxsEdson/MLCR
공식 코드Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition
https://github.com/nyu-dice-lab/circumventing-concept-erasure
공식 코드Circumventing Concept Erasure Methods For Text-to-Image Generative Models
https://github.com/nz0001na/mad_maf
공식 코드Fusion-based Few-Shot Morphing Attack Detection and Fingerprinting
https://github.com/o-ikne/emotion-gan
공식 코드https://github.com/oarriaga/face_classification
공식 코드Real-time Convolutional Neural Networks for Emotion and Gender Classification
https://github.com/oh-lab/APPO
공식 코드Adversarial Policy Optimization for Offline Preference-based Reinforcement Learning
https://github.com/oidelima/Deepfake-Detection
공식 코드Deepfake Detection using Spatiotemporal Convolutional Networks
https://github.com/oist-cnru/ReMASTER
공식 코드https://github.com/omggggg/mmdg
공식 코드Suppress and Rebalance: Towards Generalized Multi-Modal Face Anti-Spoofing
https://github.com/omidmnezami/Engagement-Recognition
공식 코드Automatic Recognition of Student Engagement using Deep Learning and Facial Expression
https://github.com/ondyari/FaceForensics
공식 코드FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/onion-liu/BlendGAN
공식 코드BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation
https://github.com/open-debin/mm2latent
공식 코드MM2Latent: Text-to-facial image generation and editing in GANs with multimodal assistance
https://github.com/openai/baselines
공식 코드Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation
https://github.com/opencv/openvino_training_extensions
공식 코드https://github.com/opentrack/neuralnet-tracker-traincode
공식 코드https://github.com/opontorno/dcts_analysis_deepfakes
공식 코드On the Exploitation of DCT-Traces in the Generative-AI Domain
https://github.com/oppo-mente-lab/facescore
공식 코드FaceScore: Benchmarking and Enhancing Face Quality in Human Generation
https://github.com/orchidchetiaphukan/multilingualptm_add_naacl24
공식 코드https://github.com/osamazeeshan/subject-based-domain-adaptation-for-fer
공식 코드Subject-Based Domain Adaptation for Facial Expression Recognition
https://github.com/otroshi/edgeface
공식 코드https://github.com/otroshi/synthdistill
공식 코드SynthDistill: Face Recognition with Knowledge Distillation from Synthetic Data
https://github.com/oxwhirl/loaded-dice
공식 코드https://github.com/paarthneekhara/facesignsdemo
공식 코드FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and Countering Deepfakes
https://github.com/pablovin/AffectiveMemoryFramework
공식 코드The FaceChannel: A Light-weight Deep Neural Network for Facial Expression Recognition
https://github.com/panasonicconnect/invreg
공식 코드https://github.com/papercode2022/hill
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.