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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/parkgeonyeong/dcwp

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Training Debiased Subnetworks with Contrastive Weight Pruning

https://github.com/parul-gupta/multifakeverse

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Multiverse Through Deepfakes: The MultiFakeVerse Dataset of Person-Centric Visual and Conceptual Manipulations

https://github.com/pedrodiamel/ferattention

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FERAtt: Facial Expression Recognition with Attention Net

https://github.com/pegahs1993/whisper-afe-talkingheadsgen

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Comparative Analysis of Audio Feature Extraction for Real-Time Talking Portrait Synthesis

https://github.com/pfilo8/flow-plugin-network-for-conditional-generation

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Flow Plugin Network for conditional generation

https://github.com/ph-w2000/s2pecnet

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Robust Audio Anti-Spoofing with Fusion-Reconstruction Learning on Multi-Order Spectrograms

https://github.com/phd-research-ai/tca2

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Transferable Adversarial Face Attack with Text Controlled Attribute

https://github.com/piotrkawa/attack-agnostic-dataset

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Attack Agnostic Dataset: Towards Generalization and Stabilization of Audio DeepFake Detection

https://github.com/piotrkawa/audio-deepfake-adversarial-attacks

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Defense Against Adversarial Attacks on Audio DeepFake Detection

https://github.com/piotrkawa/deepfake-whisper-features

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Improved DeepFake Detection Using Whisper Features

https://github.com/piotrkawa/specrnet

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SpecRNet: Towards Faster and More Accessible Audio DeepFake Detection

https://github.com/po0ya/face-magnet

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Face-MagNet: Magnifying Feature Maps to Detect Small Faces

https://github.com/polimi-ispl/jpeg-ai-antifor

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Is JPEG AI going to change image forensics?

https://github.com/polo5/ldeq_rwr

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Recurrence without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Models

https://github.com/ppolon/dcp

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Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition

https://github.com/pratikpv/mri_gan_deepfake

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MRI-GAN: A Generalized Approach to Detect DeepFakes using Perceptual Image Assessment

https://github.com/prclibo/ice

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Which Style Makes Me Attractive? Interpretable Control Discovery and Counterfactual Explanation on StyleGAN

https://github.com/prevso1088/open-set-biometrics

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Open-Set Biometrics: Beyond Good Closed-Set Models

https://github.com/prijatelj/bayesian_eval_ground_truth-free

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A Bayesian Evaluation Framework for Subjectively Annotated Visual Recognition Tasks

https://github.com/protossw512/AdaptiveWingLoss

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Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression

https://github.com/pterhoer/DeepFakeAnnotations

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Analyzing Fairness in Deepfake Detection With Massively Annotated Databases

https://github.com/pterhoer/ExplainableFaceImageQuality

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Pixel-Level Face Image Quality Assessment for Explainable Face Recognition

https://github.com/pterhoer/FairScoreNormalization

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Post-Comparison Mitigation of Demographic Bias in Face Recognition Using Fair Score Normalization

https://github.com/pterhoer/MAAD-Face

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MAAD-Face: A Massively Annotated Attribute Dataset for Face Images

https://github.com/pterhoer/PrivacyPreservingFaceRecognition

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Unsupervised Enhancement of Soft-biometric Privacy with Negative Face Recognition

https://github.com/pterhoer/QMagFace

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QMagFace: Simple and Accurate Quality-Aware Face Recognition

https://github.com/pterhoer/optimalmatchingconfidence

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PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric (Face) Recognition

https://github.com/purdue-m2/ai-face-fairnessbench

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AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark

https://github.com/purdue-m2/auc_fairness_with_noisy_groups

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Preserving AUC Fairness in Learning with Noisy Protected Groups

https://github.com/purdue-m2/fairness-generalization

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Preserving Fairness Generalization in Deepfake Detection

https://github.com/purdue-m2/sp_cup

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Robust AI-Generated Face Detection with Imbalanced Data

https://github.com/purpleleaves007/ferdenoise

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ReSup: Reliable Label Noise Suppression for Facial Expression Recognition

https://github.com/pvskand/DisguiseNet

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DisguiseNet : A Contrastive Approach for Disguised Face Verification in the Wild

https://github.com/qianyuzqy/iadg

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Instance-Aware Domain Generalization for Face Anti-Spoofing

https://github.com/qingyuliu/exposing-the-deception

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Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection

https://github.com/qinxiaoyi/cross-age_speaker_verification

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Cross-Age Speaker Verification: Learning Age-Invariant Speaker Embeddings

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