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Facial Recognition and Modelling

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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/hengruilou/deepfacegen

공식 코드

A Large-scale Universal Evaluation Benchmark For Face Forgery Detection

https://github.com/hengxyz/Dynamic_multi-task-learning

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Dynamic Multi-Task Learning for Face Recognition with Facial Expression

https://github.com/hengxyz/cari-visual-recognition-via-multitask-learning

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Dynamic Deep Multi-task Learning for Caricature-Visual Face Recognition

https://github.com/heqianpei/diga

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Distributionally Generative Augmentation for Fair Facial Attribute Classification

https://github.com/hertasecurity/LTFT

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Long-Term Face Tracking for Crowded Video-Surveillance Scenarios

https://github.com/highwaywu/st-ddl

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Exploring Spatial-Temporal Features for Deepfake Detection and Localization

https://github.com/hjy1312/AGPM

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Attention-guided Progressive Mapping for Profile Face Recognition

https://github.com/hm-choi/blind-match

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Blind-Match: Efficient Homomorphic Encryption-Based 1:N Matching for Privacy-Preserving Biometric Identification

https://github.com/honghanh2104/t2a-think-twice-before-adaptation

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Think Twice before Adaptation: Improving Adaptability of DeepFake Detection via Online Test-Time Adaptation

https://github.com/hongshuochen/DefakeHop

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DefakeHop: A Light-Weight High-Performance Deepfake Detector

https://github.com/hotfinda/Compensation-sampling

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Compensation Sampling for Improved Convergence in Diffusion Models

https://github.com/huage001/dynast

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DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation

https://github.com/huangjiadidi/DeepFakeMnist

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DeepFake MNIST+: A DeepFake Facial Animation Dataset

https://github.com/huangyangyu/ADNet

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ADNet: Leveraging Error-Bias Towards Normal Direction in Face Alignment

https://github.com/huangyangyu/NoiseFace

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Noise-Tolerant Paradigm for Training Face Recognition CNNs

https://github.com/huangyangyu/SeqFace

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SeqFace: Make full use of sequence information for face recognition

https://github.com/huashen218/llm-deepfake-human-study

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Does Human Collaboration Enhance the Accuracy of Identifying LLM-Generated Deepfake Texts?

https://github.com/huitailangyz/AFGAN

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Attributes Aware Face Generation with Generative Adversarial Networks

https://github.com/humanlab/hart

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Human Language Modeling

https://github.com/humansensinglab/PATMAT

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PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face Inpainting

https://github.com/hurricanelx/lrfr

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Dive into the Resolution Augmentations and Metrics in Low Resolution Face Recognition: A Plain yet Effective New Baseline

https://github.com/hwang1996/3D-Cartoon-Face-Generation

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3D Cartoon Face Generation with Controllable Expressions from a Single GAN Image

https://github.com/hxngiee/DiffFace

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DiffFace: Diffusion-based Face Swapping with Facial Guidance

https://github.com/i13abe/Adaptive-discriminant-and-center

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Adaptive Neuron-wise Discriminant Criterion and Adaptive Center Loss at Hidden Layer for Deep Convolutional Neural Network

https://github.com/iamsangmeng/interface

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InterFace:Adjustable Angular Margin Inter-class Loss for Deep Face Recognition

https://github.com/iamwangyabin/poundnet

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Penny-Wise and Pound-Foolish in Deepfake Detection

https://github.com/ibug-group/face_reid

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A real-time and unsupervised face Re-Identification system for Human-Robot Interaction

https://github.com/ibug-group/fpage

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FP-Age: Leveraging Face Parsing Attention for Facial Age Estimation in the Wild

https://github.com/idstcv/mogface

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MogFace: Towards a Deeper Appreciation on Face Detection

https://github.com/idt-iti/lightweight-face-detector-pruning

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Filter-Pruning of Lightweight Face Detectors Using a Geometric Median Criterion

https://github.com/idt-iti/xai-deepfakes

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Towards Quantitative Evaluation of Explainable AI Methods for Deepfake Detection

https://github.com/igor-morawski/tmm-sem

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Leveraging Content and Context Cues for Low-Light Image Enhancement

https://github.com/igsb/gestaltmatcher-arc

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Improving Deep Facial Phenotyping for Ultra-rare Disorder Verification Using Model Ensembles

https://github.com/ihp-lab/fg-net

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FG-Net: Facial Action Unit Detection with Generalizable Pyramidal Features

https://github.com/iman2693/gdsm

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Brain Age Estimation with a Greedy Dual-Stream Model for Limited Datasets

https://github.com/imatge-upc/wav2pix

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Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks

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