https://github.com/BiDAlab/DiveFace
공식 코드SensitiveNets: Learning Agnostic Representations with Application to Face Images
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/BiDAlab/mEBAL
공식 코드mEBAL: A Multimodal Database for Eye Blink Detection and Attention Level Estimation
https://github.com/Bingwen-Hu/ERGAN-Pytorch
공식 코드https://github.com/BradyFU/DVG
공식 코드Dual Variational Generation for Low-Shot Heterogeneous Face Recognition
https://github.com/Carlyx/DPE
공식 코드DPE: Disentanglement of Pose and Expression for General Video Portrait Editing
https://github.com/ChenqiKONG/OSDFD
공식 코드Open-Set Deepfake Detection: A Parameter-Efficient Adaptation Method with Forgery Style Mixture
https://github.com/ClaudiaShu/SSL-FER
공식 코드Revisiting Self-Supervised Contrastive Learning for Facial Expression Recognition
https://github.com/Clench/TAR_resAE
공식 코드TAR: Generalized Forensic Framework to Detect Deepfakes using Weakly Supervised Learning
https://github.com/CodeShareBot/Micro-Attention-for-Micro-Expression
공식 코드https://github.com/ControlNet/LAV-DF
공식 코드https://github.com/ControlNet/MARLIN
공식 코드MARLIN: Masked Autoencoder for facial video Representation LearnINg
https://github.com/Coral79/CDDB
공식 코드A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials
https://github.com/CreativePapers/Learn-to-Synthesize-and-Synthesize-to-Learn
공식 코드https://github.com/D-X-Y/SAN
공식 코드https://github.com/D-X-Y/landmark-detection
공식 코드Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection
https://github.com/Darg-Iztech/gender-prediction-from-tweets
공식 코드Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features
https://github.com/DariusAf/MesoNet
공식 코드https://github.com/Davidzhangyuanhan/CelebA-Spoof
공식 코드CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations
https://github.com/DengPingFan/Scoot
공식 코드Face Sketch Synthesis Style Similarity:A New Structure Co-occurrence Texture Measure
https://github.com/DeokyunKim/Progressive-Face-Super-Resolution
공식 코드Progressive Face Super-Resolution via Attention to Facial Landmark
https://github.com/DetionDX/Attribute2Sketch2Face
공식 코드Face Synthesis from Visual Attributes via Sketch using Conditional VAEs and GANs
https://github.com/DetionDX/GP-GAN-Gender-Preserving-GAN-for-Synthesizing-Faces-from-Landmarks
공식 코드GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks
https://github.com/DetionDX/GP-GAN-GenderPreserving-GAN-for-Synthesizing-Faces-from-Landmarks
공식 코드GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks
https://github.com/Dianezzy/ParaLip
공식 코드https://github.com/DingXiaoH/RepMLP
공식 코드RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition
https://github.com/Drkun/ZSTCI
공식 코드https://github.com/ESanchezLozano/GANnotation
공식 코드Triple consistency loss for pairing distributions in GAN-based face synthesis
https://github.com/EduardaCaldeira/DiffProb
공식 코드https://github.com/EndlessSora/DeeperForensics-1.0
공식 코드DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection
https://github.com/EricGzq/AMTENnet
공식 코드Fake face detection via adaptive manipulation traces extraction network
https://github.com/FER-LMC/S2D
공식 코드https://github.com/FaceOnLive/Face-Recognition-SDK-Android
공식 코드Cross-Age Contrastive Learning for Age-Invariant Face Recognition
https://github.com/FacePerceiver/FaRL
공식 코드General Facial Representation Learning in a Visual-Linguistic Manner
https://github.com/Faceplugin-ltd/FaceLivenessDetection-Android
공식 코드Generalized Face Liveness Detection via De-fake Face Generator
https://github.com/FeiiYin/StyleHEAT
공식 코드StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN
https://github.com/Fictionarry/InsTaG
공식 코드InsTaG: Learning Personalized 3D Talking Head from Few-Second Video
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.