Papers with Code 아카이브

3D Face Reconstruction

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하위 태스크: 1
평가표: 9
보존된 평가 기록: 94

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/KU-CVLAB/MoDiTalker

공식 코드

MoDiTalker: Motion-Disentangled Diffusion Model for High-Fidelity Talking Head Generation

https://github.com/KUCognitiveInformaticsLab/PairwiseExpressionAnnotator

공식 코드

HAPI: A Model for Learning Robot Facial Expressions from Human Preferences

https://github.com/KaenChan/ProbFace

공식 코드

Fast and Reliable Probabilistic Face Embeddings in the Wild

https://github.com/KamruzzamanAsif/BanglaFake

공식 코드

BanglaFake: Constructing and Evaluating a Specialized Bengali Deepfake Audio Dataset

https://github.com/Kartik-3004/facexformer

공식 코드

FaceXFormer: A Unified Transformer for Facial Analysis

https://github.com/KeqiangSun/FAB

공식 코드

FAB: A Robust Facial Landmark Detection Framework for Motion-Blurred Videos

https://github.com/KikimorMay/MultiFace

공식 코드

MultiFace: A Generic Training Mechanism for Boosting Face Recognition Performance

https://github.com/KnowledgeDiscovery/FaceSec

공식 코드

FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems

https://github.com/KovenYu/state-information

공식 코드

Weakly supervised discriminative feature learning with state information for person identification

https://github.com/LSIbabnikz/DifFIQA

공식 코드

DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic Models

https://github.com/LeiJiangJNU/DAMDNet

공식 코드

Dual Attention MobDenseNet(DAMDNet) for Robust 3D Face Alignment

https://github.com/Leminhbinh0209/AAAI22-ADD

공식 코드

ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images

https://github.com/Leminhbinh0209/KappaFace

공식 코드

KappaFace: Adaptive Additive Angular Margin Loss for Deep Face Recognition

https://github.com/LetterLiGo/SafeEar

공식 코드

SafeEar: Content Privacy-Preserving Audio Deepfake Detection

https://github.com/Li-Chongyi/Lighting-the-Darkness-in-the-Deep-Learning-Era-Open

공식 코드

Low-Light Image and Video Enhancement Using Deep Learning: A Survey

https://github.com/Li-Chongyi/Zero-DCE

공식 코드

Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement

https://github.com/Li-Wanhua/MetaAge

공식 코드

MetaAge: Meta-Learning Personalized Age Estimators

https://github.com/Li-Wanhua/POEs

공식 코드

Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression

https://github.com/LonglongaaaGo/EXE-GAN

공식 코드

Do Inpainting Yourself: Generative Facial Inpainting Guided by Exemplars

https://github.com/Lotayou/Face-Renovation

공식 코드

HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment

https://github.com/LynnHo/EigenGAN-Tensorflow

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EigenGAN: Layer-Wise Eigen-Learning for GANs

https://github.com/MASILab/BRAID

공식 코드

Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease

https://github.com/MCG-NJU/SADRNet

공식 코드

SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction

https://github.com/MIvanovska/MAD-DDPM

공식 코드

Face Morphing Attack Detection with Denoising Diffusion Probabilistic Models

https://github.com/MRzzm/DINet

공식 코드

DINet: Deformation Inpainting Network for Realistic Face Visually Dubbing on High Resolution Video

https://github.com/MSoumm/FaVFA

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Fairer Analysis and Demographically Balanced Face Generation for Fairer Face Verification

https://github.com/MZMMSEC/SJEDD

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Semantics-Oriented Multitask Learning for DeepFake Detection: A Joint Embedding Approach

https://github.com/MZMMSEC/SO-DFD

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Semantic Contextualization of Face Forgery: A New Definition, Dataset, and Detection Method

https://github.com/MahmoudRabea13/IdentiFace

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IdentiFace : A VGG Based Multimodal Facial Biometric System

https://github.com/MarekKowalski/DeepAlignmentNetwork

공식 코드

Deep Alignment Network: A convolutional neural network for robust face alignment

https://github.com/MarekKowalski/HoloFace

공식 코드

HoloFace: Augmenting Human-to-Human Interactions on HoloLens

https://github.com/Martlgap/btm-stm

공식 코드

Susceptibility to Image Resolution in Face Recognition and Trainings Strategies

https://github.com/Martlgap/xqlfw

공식 코드

Cross-Quality LFW: A Database for Analyzing Cross-Resolution Image Face Recognition in Unconstrained Environments

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

공식 코드

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

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

공식 코드

TinaFace: Strong but Simple Baseline for Face Detection

https://github.com/Megatvini/DeepFaceForgeryDetection

공식 코드

Deep Face Forgery Detection

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