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Facial Recognition and Modelling

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하위 태스크: 25
평가표: 0
보존된 평가 기록: 0

Facial tasks in machine learning operate based on images or video frames (or other datasets) focussed on human faces.

코드

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

https://github.com/csong27/ml-model-remember

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Machine Learning Models that Remember Too Much

https://github.com/csxmli2016/SymmFCNet

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Learning Symmetry Consistent Deep CNNs for Face Completion

https://github.com/csyxwei/FFWM

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Learning Flow-based Feature Warping for Face Frontalization with Illumination Inconsistent Supervision

https://github.com/cutz-j/FDFtNet

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FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network

https://github.com/cvgmi/nestedgrassmann

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Nested Grassmannians for Dimensionality Reduction with Applications

https://github.com/cvi-szu/degstalk

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DEGSTalk: Decomposed Per-Embedding Gaussian Fields for Hair-Preserving Talking Face Synthesis

https://github.com/cvi-szu/mdhr

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Multi-scale Dynamic and Hierarchical Relationship Modeling for Facial Action Units Recognition

https://github.com/cvi-szu/me-graphau

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Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition

https://github.com/cyf-cuber/mol

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MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution

https://github.com/cyj907/unsupervised-detail-layer

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Self-supervised Learning of Detailed 3D Face Reconstruction

https://github.com/cyjie429/rego

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Region-Based Optimization in Continual Learning for Audio Deepfake Detection

https://github.com/d-acharya/CovPoolFER

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Covariance Pooling For Facial Expression Recognition

https://github.com/daizigege/Identity_hider

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Seeing is not Believing: An Identity Hider for Human Vision Privacy Protection

https://github.com/damo-cv/mogface

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MogFace: Towards a Deeper Appreciation on Face Detection

https://github.com/daniel3303/storyreasoning

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StoryReasoning Dataset: Using Chain-of-Thought for Scene Understanding and Grounded Story Generation

https://github.com/danjun6737/transface

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TransFace: Calibrating Transformer Training for Face Recognition from a Data-Centric Perspective

https://github.com/danmohaha/celeb-deepfakeforensics

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Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics

https://github.com/daooshee/HLA-Face-Code

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HLA-Face: Joint High-Low Adaptation for Low Light Face Detection

https://github.com/dariant/id-booth

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ID-Booth: Identity-consistent Face Generation with Diffusion Models

https://github.com/dasec/dataset-duplicates

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Considerations on the Evaluation of Biometric Quality Assessment Algorithms

https://github.com/dasec/hda-synchildfaces-agetransformation

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Child Face Recognition at Scale: Synthetic Data Generation and Performance Benchmark

https://github.com/dasec/ladimo

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LADIMO: Face Morph Generation through Biometric Template Inversion with Latent Diffusion

https://github.com/dasec/tetraloss

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TetraLoss: Improving the Robustness of Face Recognition against Morphing Attacks

https://github.com/dash-lab/fakeavceleb

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FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset

https://github.com/datamllab/Mitigating_Gender_Bias_In_Captioning_System

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Mitigating Gender Bias in Captioning Systems

https://github.com/datasciencegrimmer/syn-yawpitch

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Pose Impact Estimation on Face Recognition using 3D-Aware Synthetic Data with Application to Quality Assessment

https://github.com/david-svitov/margindistillation

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MarginDistillation: distillation for margin-based softmax

https://github.com/davidberend/FairnessMatters

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Fair and accurate age prediction using distribution aware data curation and augmentation

https://github.com/davidcombei/ai4t

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Unmasking real-world audio deepfakes: A data-centric approach

https://github.com/davide-coccomini/Combining-EfficientNet-and-Vision-Transformers-for-Video-Deepfake-Detection

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Combining EfficientNet and Vision Transformers for Video Deepfake Detection

https://github.com/davide-coccomini/Combining-EfficientNet-and-Vision-Transformersfor-Video-Deepfake-Detection

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Combining EfficientNet and Vision Transformers for Video Deepfake Detection

https://github.com/davide-coccomini/Cross-Forgery-Analysis-of-Vision-Transformers-and-CNNs-for-Deepfake-Image-Detection

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Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection

https://github.com/davide-coccomini/adversarial-magnification-to-deceive-deepfake-detection-through-super-resolution

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Adversarial Magnification to Deceive Deepfake Detection through Super Resolution

https://github.com/davide-coccomini/deepfake-detection-without-deepfakes-generalization-via-synthetic-frequency-patterns-injection

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Deepfake Detection without Deepfakes: Generalization via Synthetic Frequency Patterns Injection

https://github.com/davide-coccomini/mintime-multi-identity-size-invariant-timesformer-for-video-deepfake-detection

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MINTIME: Multi-Identity Size-Invariant Video Deepfake Detection

https://github.com/davidsandberg/facenet

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Longitudinal Study of Child Face Recognition

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