Facial Recognition and Modelling
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Facial tasks in machine learning operate based on images or video frames (or other datasets) focussed on human faces.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/li-wanhua/label2label
공식 코드Label2Label: A Language Modeling Framework for Multi-Attribute Learning
https://github.com/liangchen527/sladd
공식 코드Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection
https://github.com/lidan1/PhotoSketchMAN
공식 코드High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks
https://github.com/ligaripash/KWtQ-face-alignment
공식 코드https://github.com/ligaripash/facecoresetnet
공식 코드FaceCoresetNet: Differentiable Coresets for Face Set Recognition
https://github.com/lightdxy/ict_deepfake
공식 코드Protecting Celebrities from DeepFake with Identity Consistency Transformer
https://github.com/lingxiao-he/Partial-Person-ReID
공식 코드https://github.com/liqi-casia/faceswapper
공식 코드Learning Disentangled Representation for One-shot Progressive Face Swapping
https://github.com/lisha-chen/Deep-structured-facial-landmark-detection
공식 코드https://github.com/lissomx/MSP
공식 코드Latent Space Factorisation and Manipulation via Matrix Subspace Projection
https://github.com/littlejuyan/df_fairness
공식 코드https://github.com/liu-tianchi/nes2net
공식 코드Nes2Net: A Lightweight Nested Architecture for Foundation Model Driven Speech Anti-spoofing
https://github.com/liuhw01/Norface
공식 코드Norface: Improving Facial Expression Analysis by Identity Normalization
https://github.com/liutaocode/DiffDub
공식 코드DiffDub: Person-generic Visual Dubbing Using Inpainting Renderer with Diffusion Auto-encoder
https://github.com/liuwei16/CSP
공식 코드Center and Scale Prediction: Anchor-free Approach for Pedestrian and Face Detection
https://github.com/liuyuisanai/trojans-face-recognizer
공식 코드https://github.com/liuyvchi/NROLL
공식 코드Boosting Semi-Supervised Face Recognition with Noise Robustness
https://github.com/liuyvchi/mie-x
공식 코드How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset?
https://github.com/liuzhengzhe/Global_Texture_Enhancement_for_Fake_Face_Detection_in_the-Wild
공식 코드Global Texture Enhancement for Fake Face Detection in the Wild
https://github.com/liwenchao0615/zerrinnet
공식 코드Zero-Shot Enhancement of Low-Light Image Based on Retinex Decomposition
https://github.com/lizhaoliu-Lec/DAS
공식 코드https://github.com/ljj898/cmdfd-dataset-and-deepfake-detection
공식 코드Explicit Correlation Learning for Generalizable Cross-Modal Deepfake Detection
https://github.com/ljuvela/collaborative-watermarking-with-codecs
공식 코드Audio Codec Augmentation for Robust Collaborative Watermarking of Speech Synthesis
https://github.com/ljw-git/arbitrary_resolution_rppg
공식 코드Learning Motion-Robust Remote Photoplethysmography through Arbitrary Resolution Videos
https://github.com/lmbxmu/EPruner
공식 코드https://github.com/longph1989/Socrates
공식 코드SOCRATES: Towards a Unified Platform for Neural Network Analysis
https://github.com/louisbearing/hmo-audio
공식 코드A Comprehensive Multi-scale Approach for Speech and Dynamics Synchrony in Talking Head Generation
https://github.com/louisbearing/unconditionalheadmotion
공식 코드Autoregressive GAN for Semantic Unconditional Head Motion Generation
https://github.com/lovesiamesecat/favit
공식 코드Generalized Face Forgery Detection via Adaptive Learning for Pre-trained Vision Transformer
https://github.com/lsibabnikz/ai-kd
공식 코드AI-KD: Towards Alignment Invariant Face Image Quality Assessment Using Knowledge Distillation
https://github.com/lsibabnikz/faceqan
공식 코드FaceQAN: Face Image Quality Assessment Through Adversarial Noise Exploration
https://github.com/lsibabnikz/optimization-based-improvement-of-fiqa-techniques
공식 코드Optimization-Based Improvement of Face Image Quality Assessment Techniques
https://github.com/lsy0882/FakeMix
공식 코드WWW: Where, Which and Whatever Enhancing Interpretability in Multimodal Deepfake Detection
https://github.com/ltrottier/deep-collaboration-network
공식 코드Multi-Task Learning by Deep Collaboration and Application in Facial Landmark Detection
https://github.com/lucasxlu/TransFBP
공식 코드Transferring Rich Deep Features for Facial Beauty Prediction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.