Papers with Code 아카이브

3D Face Modelling

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

https://github.com/MasoumehSharafi/DSFDA-for-Pain-Assessment

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Disentangled Source-Free Personalization for Facial Expression Recognition with Neutral Target Data

https://github.com/Media-Smart/vedadet/tree/main/configs/trainval/tinaface

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TinaFace: Strong but Simple Baseline for Face Detection

https://github.com/Megatvini/DeepFaceForgeryDetection

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Deep Face Forgery Detection

https://github.com/MelWe/hopf-recognition

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Associative Memory Impairments arising from Neurodegenerative Diseases and Traumatic Brain Injuries in a Hopfield Network Model

https://github.com/Meta-Portrait/MetaPortrait

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MetaPortrait: Identity-Preserving Talking Head Generation with Fast Personalized Adaptation

https://github.com/Microsoft/Deep3DFaceReconstruction

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Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set

https://github.com/Microsoft/EdgeML

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RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference

https://github.com/Microsoft/FERPlus

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Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution

https://github.com/Milan-BUAA/TSAN-brain-age-estimation

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Brain Age Estimation From MRI Using Cascade Networks with Ranking Loss

https://github.com/Mirevi/UCP-Framework

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Unmasking Communication Partners: A Low-Cost AI Solution for Digitally Removing Head-Mounted Displays in VR-Based Telepresence

https://github.com/MishaLaskin/curl

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CURL: Contrastive Unsupervised Representations for Reinforcement Learning

https://github.com/MouseHu/GEM

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Generalizable Episodic Memory for Deep Reinforcement Learning

https://github.com/MunchkinChen/FADING

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Face Aging via Diffusion-based Editing

https://github.com/Mvrjustid/ACII19-Apex-Time-Network

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A Novel Apex-Time Network for Cross-Dataset Micro-Expression Recognition

https://github.com/NYCU-RL-Bandits-Lab/Q-Pensieve

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Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-Snapshots

https://github.com/NetEase-Media/ControlTalk

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Controllable Talking Face Generation by Implicit Facial Keypoints Editing

https://github.com/NetaGlazer/ADD-GP

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Few-Shot Speech Deepfake Detection Adaptation with Gaussian Processes

https://github.com/NetoPedro/FocusFace

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FocusFace: Multi-task Contrastive Learning for Masked Face Recognition

https://github.com/Nicholasli1995/VisualizingNDF

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Facial age estimation by deep residual decision making

https://github.com/NickyFot/HitchhikersGuide

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A Hitchhikers Guide to Fine-Grained Face Forgery Detection Using Common Sense Reasoning

https://github.com/Nithin-GK/UniteandConquer

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Unite and Conquer: Plug & Play Multi-Modal Synthesis using Diffusion Models

https://github.com/NuayHL/TimeStepGenerating

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Time Step Generating: A Universal Synthesized Deepfake Image Detector

https://github.com/OceanSummerDay/HSTA_MER

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Hierarchical Space-Time Attention for Micro-Expression Recognition

https://github.com/Octavio-Pappalardo/Meta-learning-rewards

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Black box meta-learning intrinsic rewards for sparse-reward environments

https://github.com/Open-Debin/Emotion-FAN

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Frame attention networks for facial expression recognition in videos

https://github.com/OpenImagingLab/LenslessFace

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LenslessFace: An End-to-End Optimized Lensless System for Privacy-Preserving Face Verification

https://github.com/OpenRL-Lab/DeepFakeFace

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Robustness and Generalizability of Deepfake Detection: A Study with Diffusion Models

https://github.com/OpenTAI/wild-deepfake

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WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection

https://github.com/Owen-Oertell/rlcm

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REBEL: Reinforcement Learning via Regressing Relative Rewards

https://github.com/PRALabBiometrics/APhotoEverydayDB

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Are Adaptive Face Recognition Systems still Necessary? Experiments on the APE Dataset

https://github.com/PaddlePaddle/PaddleClas

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PP-ShiTu: A Practical Lightweight Image Recognition System

https://github.com/PaddlePaddle/models

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PyramidBox: A Context-assisted Single Shot Face Detector

https://github.com/PalomaCantero/Deepfake-Detection-and-the-Impact-of-Limited-Computing-Capabilities

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Deepfake Detection and the Impact of Limited Computing Capabilities

https://github.com/PanosAntoniadis/emotion-gcn

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Exploiting Emotional Dependencies with Graph Convolutional Networks for Facial Expression Recognition

https://github.com/PaoloP84/EfficacyModernES

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Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control Optimization

https://github.com/ParthaEth/GIF

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GIF: Generative Interpretable Faces

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