Papers with Code 아카이브
Facial Recognition and Modelling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/barisgecer/ganfit
공식 코드GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction
https://github.com/barulalithb/stereo-angular-margin
공식 코드Improvising the Learning of Neural Networks on Hyperspherical Manifold
https://github.com/bbenligiray/greedy-face-features
공식 코드https://github.com/bghojogh/Face-Gender-Recognition-Fusion
공식 코드A Fusion-based Gender Recognition Method Using Facial Images
https://github.com/bghojogh/Pixel-Aligned-Face-Recognition
공식 코드Pixel-Level Alignment of Facial Images for High Accuracy Recognition Using Ensemble of Patches
https://github.com/bghojogh/Roweis-Discriminant-Analysis
공식 코드Roweis Discriminant Analysis: A Generalized Subspace Learning Method
https://github.com/bghojogh/Roweisposes
공식 코드Roweisposes, Including Eigenposes, Supervised Eigenposes, and Fisherposes, for 3D Action Recognition
https://github.com/bghojogh/Weighted-Fisher-Discriminant-Analysis
공식 코드Weighted Fisher Discriminant Analysis in the Input and Feature Spaces
https://github.com/bidalab/chatgpt_facebiometrics
공식 코드https://github.com/bieltura/Automotive_face_detector
공식 코드Low cost enhanced security face recognition with stereo cameras
https://github.com/billyxyb/facednerf
공식 코드FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models
https://github.com/billyxyb/fdnerf
공식 코드FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models
https://github.com/bilylee/DCQ
공식 코드Dynamic Class Queue for Large Scale Face Recognition In the Wild
https://github.com/bing-li-ai/AniGAN
공식 코드AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation
https://github.com/bintsi/adaptive-graph-learning
공식 코드Multimodal brain age estimation using interpretable adaptive population-graph learning
https://github.com/bintsi/brain-age-population-graphs
공식 코드https://github.com/biomedia-mbzuai/fetalclip
공식 코드FetalCLIP: A Visual-Language Foundation Model for Fetal Ultrasound Image Analysis
https://github.com/birdwcp/qcs
공식 코드QCS: Feature Refining from Quadruplet Cross Similarity for Facial Expression Recognition
https://github.com/bit-ml/DeCLIP
공식 코드DeCLIP: Decoding CLIP representations for deepfake localization
https://github.com/bit-ml/avh-align
공식 코드Circumventing shortcuts in audio-visual deepfake detection datasets with unsupervised learning
https://github.com/bit-ml/dolos
공식 코드Weakly-supervised deepfake localization in diffusion-generated images
https://github.com/bita-github/MRP-FER
공식 코드https://github.com/bj80heyue/Learning_One_Shot_Face_Reenactment
공식 코드https://github.com/bjzhb666/GS-LoRA
공식 코드https://github.com/bobetocalo/bobetocalo_pami20
공식 코드https://github.com/bodhis4ttva/lhc_net
공식 코드Local Multi-Head Channel Self-Attention for Facial Expression Recognition
https://github.com/bok-bok/MSOC
공식 코드A Multi-Stream Fusion Approach with One-Class Learning for Audio-Visual Deepfake Detection
https://github.com/borrisonxiao/icefall
공식 코드HK-LegiCoST: Leveraging Non-Verbatim Transcripts for Speech Translation
https://github.com/boutiquelee/deepfakeempiricalstudy
공식 코드How Generalizable are Deepfake Image Detectors? An Empirical Study
https://github.com/bovifocr/tcdiff
공식 코드TCDiff: Triple Condition Diffusion Model with 3D Constraints for Stylizing Synthetic Faces
https://github.com/bplank/bleaching-text
공식 코드Bleaching Text: Abstract Features for Cross-lingual Gender Prediction
https://github.com/brain-age/otfpf
공식 코드https://github.com/brkljac/videoface2.0
공식 코드https://github.com/browatbn2/3FabRec
공식 코드https://github.com/bsi-ofiq/ofiq-project
공식 코드Deep Learning-based Compression Detection for explainable Face Image Quality Assessment
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