Papers with Code 아카이브

3D Face Modelling

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코드

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

https://github.com/yerfor/Real3DPortrait

공식 코드

Real3D-Portrait: One-shot Realistic 3D Talking Portrait Synthesis

https://github.com/yermandy/deepfake-detection

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Unlocking the Hidden Potential of CLIP in Generalizable Deepfake Detection

https://github.com/yeshenpy/erl-re2

공식 코드

ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation

https://github.com/ygtxr1997/reliableswap

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ReliableSwap: Boosting General Face Swapping Via Reliable Supervision

https://github.com/yingchengyang/BIRIS

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On the Reuse Bias in Off-Policy Reinforcement Learning

https://github.com/yingchengyang/CPPO

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Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk

https://github.com/yingfan-bot/mbpsrl

공식 코드

Model-based Reinforcement Learning for Continuous Control with Posterior Sampling

https://github.com/yingjiacheng/restorerid

공식 코드

RestorerID: Towards Tuning-Free Face Restoration with ID Preservation

https://github.com/yinhefeng/LCLRRDL

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Face Recognition via Locality Constrained Low Rank Representation and Dictionary Learning

https://github.com/yinhefeng/soigo

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Face recognition via compact second order image gradient orientations

https://github.com/yipersevere/age-estimation

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using multiple losses for accurate facial age estimation

https://github.com/yjhuangcd/fi-ode

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FI-ODE: Certifiably Robust Forward Invariance in Neural ODEs

https://github.com/yjyddq/DLIF

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Generalized Face Anti-spoofing via Finer Domain Partition and Disentangling Liveness-irrelevant Factors

https://github.com/ykykyk112/STIG

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Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile

https://github.com/yl-1993/learn-to-cluster

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Learning to Cluster Faces on an Affinity Graph

https://github.com/yliuaa/bnmr-faircompface

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Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning

https://github.com/ymx2022/3dfacetexture

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Self-supervised Re-renderable Facial Albedo Reconstruction from Single Image

https://github.com/yobibyte/amorpheus

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My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control

https://github.com/yoctta/multiple-attention

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Multi-attentional Deepfake Detection

https://github.com/yongyizang/SingFake

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SingFake: Singing Voice Deepfake Detection

https://github.com/youngLBW/HRN

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A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction from In-The-Wild Images

https://github.com/youqingxiaozhua/apvit

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Vision Transformer with Attentive Pooling for Robust Facial Expression Recognition

https://github.com/yuangan/VidFace

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VidFace: A Full-Transformer Solver for Video FaceHallucination with Unaligned Tiny Snapshots

https://github.com/yuangan/eat_code

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Efficient Emotional Adaptation for Audio-Driven Talking-Head Generation

https://github.com/yuangan/silencer

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Silence is Golden: Leveraging Adversarial Examples to Nullify Audio Control in LDM-based Talking-Head Generation

https://github.com/yuankaishen2001/Self-adjusting-AU

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Multi-scale Promoted Self-adjusting Correlation Learning for Facial Action Unit Detection

https://github.com/yuankaishen2001/auformer

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AUFormer: Vision Transformers are Parameter-Efficient Facial Action Unit Detectors

https://github.com/yule-li/MassFace

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MassFace: an efficient implementation using triplet loss for face recognition

https://github.com/yuleung/mixbct

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MixBCT: Towards Self-Adapting Backward-Compatible Training

https://github.com/yulu0724/EmbeddingDistillation

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Learning Metrics from Teachers: Compact Networks for Image Embedding

https://github.com/yunan-wang33/sdml

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Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning

https://github.com/yunyikristy/global_local

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Contrastive Learning of Global-Local Video Representations

https://github.com/yuval-alaluf/SAM

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Only a Matter of Style: Age Transformation Using a Style-Based Regression Model

https://github.com/yvesalexandre/convnet-metadata

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Modeling the Temporal Nature of Human Behavior for Demographics Prediction

https://github.com/yvonnemamama/ggd

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Generated Graph Detection

https://github.com/yylgoodlucky/hdtr

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HDTR-Net: A Real-Time High-Definition Teeth Restoration Network for Arbitrary Talking Face Generation Methods

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.