https://github.com/Garsonjw/AdvFAS
공식 코드AdvFAS: A robust face anti-spoofing framework against adversarial examples
Papers with Code 아카이브
3D Face Reconstruction
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3D Face Reconstruction is a computer vision task that involves creating a 3D model of a human face from a 2D image or a set of images. The goal of 3D face reconstruction is to reconstruct a digital 3D representation of a person's face, which can be used for various applications such as animation, virtual reality, and biometric identification.
<span style="color:grey; opacity: 0.6">( Image credit: 3DDFA_V2 )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/HCIILAB/SCUT-FBP5500-Database-Release
공식 코드SCUT-FBP5500: A Diverse Benchmark Dataset for Multi-Paradigm Facial Beauty Prediction
https://github.com/HCPLab-SYSU/AUE-CRL
공식 코드AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition
https://github.com/HCPLab-SYSU/CD-FER-Benchmark
공식 코드Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition
https://github.com/HDCVLab/EDFace-Celeb-1M
공식 코드EDFace-Celeb-1M: Benchmarking Face Hallucination with a Million-scale Dataset
https://github.com/HSE-asavchenko/face-emotion-recognition
공식 코드https://github.com/HSE-asavchenko/mobile-visual-preferences
공식 코드https://github.com/Hangz-nju-cuhk/Rotate-and-Render
공식 코드Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images
https://github.com/Hangz-nju-cuhk/Talking-Face_PC-AVS
공식 코드Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation
https://github.com/HanxunH/Unlearnable-Examples
공식 코드https://github.com/Helix-IIIT-Delhi/COFFE-Singing_Voice_Deepfake
공식 코드Towards Source Attribution of Singing Voice Deepfake with Multimodal Foundation Models
https://github.com/HeyingGithub/Baseline-project-for-MEGC2020_spotting
공식 코드Spotting Macro- and Micro-expression Intervals in Long Video Sequences
https://github.com/HongwenZhang/ECT-FaceAlignment
공식 코드Combining Data-driven and Model-driven Methods for Robust Facial Landmark Detection
https://github.com/HuangYG123/CurricularFace
공식 코드CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition
https://github.com/HuangYG123/DDL
공식 코드Improving Face Recognition from Hard Samples via Distribution Distillation Loss
https://github.com/Hzzone/MTLFace
공식 코드When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework
https://github.com/Hzzone/PFA-GAN
공식 코드PFA-GAN: Progressive Face Aging with Generative Adversarial Network
https://github.com/IDT-ITI/Adv-XAI-Deepfakes
공식 코드https://github.com/InterDigitalInc/HRFAE
공식 코드https://github.com/IrvingMeng/MagFace
공식 코드MagFace: A Universal Representation for Face Recognition and Quality Assessment
https://github.com/JDAI-CV/FaceX-Zoo/tree/main/addition_module/DMUE
공식 코드https://github.com/JDAI-CV/faceX-Zoo
공식 코드https://github.com/JDAI-CV/fast-reid
공식 코드FastReID: A Pytorch Toolbox for General Instance Re-identification
https://github.com/JFChi/Understanding-and-Mitigating-Accuracy-Disparity-in-Regression
공식 코드Understanding and Mitigating Accuracy Disparity in Regression
https://github.com/JOY-MM/JoyGen
공식 코드JoyGen: Audio-Driven 3D Depth-Aware Talking-Face Video Editing
https://github.com/JRConti/EthicalModule_vMF
공식 코드Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model
https://github.com/JStehouwer/FFD_CVPR2020
공식 코드https://github.com/Jasonxu1225/Improved-Lightweight-YOLOv5-for-Face-Mask-Detection
공식 코드An Improved Lightweight YOLOv5 Model Based on Attention Mechanism for Face Mask Detection
https://github.com/Jessegator/Audio_robustness_evaluation
공식 코드https://github.com/Jia1018/GoHD
공식 코드https://github.com/JianZhang-chick/EMOdiffhead
공식 코드EMOdiffhead: Continuously Emotional Control in Talking Head Generation via Diffusion
https://github.com/JianghaiSCU/Diffusion-Low-Light
공식 코드Low-Light Image Enhancement with Wavelet-based Diffusion Models
https://github.com/JiejiangWu/FaceG2E
공식 코드https://github.com/Juyong/CaricatureFace
공식 코드Landmark Detection and 3D Face Reconstruction for Caricature using a Nonlinear Parametric Model
https://github.com/Juyong/FacePSNet
공식 코드https://github.com/KIT-MRT/latent_diffusion_face_anonymization
공식 코드LDFA: Latent Diffusion Face Anonymization for Self-driving Applications
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.