https://github.com/silence-tang/artnerf
공식 코드ArtNeRF: A Stylized Neural Field for 3D-Aware Cartoonized Face Synthesis
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/silvialaurapintea/reg-cls
공식 코드A step towards understanding why classification helps regression
https://github.com/simogroup/3dfair
공식 코드3D Facial Imperfection Regeneration: Deep learning approach and 3D printing prototypes
https://github.com/skjack/diffusionfake
공식 코드DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion
https://github.com/skrantidatta/lipinc
공식 코드https://github.com/skrantidatta/lipinc-v2
공식 코드Detecting Lip-Syncing Deepfakes: Vision Temporal Transformer for Analyzing Mouth Inconsistencies
https://github.com/skylar-sutherland/single-scan-3dmms
공식 코드https://github.com/slundberg/shap
공식 코드https://github.com/smile-ffg/he-man-concrete
공식 코드HE-MAN -- Homomorphically Encrypted MAchine learning with oNnx models
https://github.com/smuelpeng/sgps-noisefreedml
공식 코드https://github.com/socialabubi/iFakeFaceDB
공식 코드GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection
https://github.com/sohailahmedkhan/CLIPping-the-Deception
공식 코드CLIPping the Deception: Adapting Vision-Language Models for Universal Deepfake Detection
https://github.com/soheilb/multimodal_dictionary_learning
공식 코드Multimodal Task-Driven Dictionary Learning for Image Classification
https://github.com/somuchtome/faceswap
공식 코드https://github.com/songluchuan/adasr-talkinghead
공식 코드Adaptive Super Resolution For One-Shot Talking-Head Generation
https://github.com/sowmen/face-cutout
공식 코드https://github.com/sowwnn/KFusion-Dual-Domain-for-Speech-to-Landmarks
공식 코드KAN-Based Fusion of Dual-Domain for Audio-Driven Facial Landmarks Generation
https://github.com/spaghettisystems/emotion_whisper
공식 코드https://github.com/spring-epfl/iccwd
공식 코드A Manually Annotated Image-Caption Dataset for Detecting Children in the Wild
https://github.com/sridharsola/msd-e
공식 코드https://github.com/sstzal/DFRF
공식 코드Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis
https://github.com/sstzal/DiffTalk
공식 코드DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation
https://github.com/starhiking/ExpLLM-TMM
공식 코드ExpLLM: Towards Chain of Thought for Facial Expression Recognition
https://github.com/starhiking/HeatmapInHeatmap
공식 코드HIH: Towards More Accurate Face Alignment via Heatmap in Heatmap
https://github.com/stat-ml/face-evaluation
공식 코드https://github.com/stefhoer/PartialLFW
공식 코드https://github.com/stephenivy07/Landmarkgan
공식 코드https://github.com/stevensmith2000/btnet
공식 코드Learning Unified Representations for Multi-Resolution Face Recognition
https://github.com/stevexwu/face_brightness
공식 코드Face Recognition Accuracy Across Demographics: Shining a Light Into the Problem
https://github.com/storymy/take-off-eyeglasses
공식 코드Portrait Eyeglasses and Shadow Removal by Leveraging 3D Synthetic Data
https://github.com/sudban3089/ID-Preserving-Facial-Aging
공식 코드Identity-Preserving Aging of Face Images via Latent Diffusion Models
https://github.com/sungho-coolg/fscl
공식 코드Fair Contrastive Learning for Facial Attribute Classification
https://github.com/sunwei925/dn-piqa
공식 코드https://github.com/superhero-7/DreamID
공식 코드DreamID: High-Fidelity and Fast diffusion-based Face Swapping via Triplet ID Group Learning
https://github.com/susanqq/Talking_Face_Generation
공식 코드Talking Face Generation by Conditional Recurrent Adversarial Network
https://github.com/sutd-visual-computing-group/Re-thinking_MI
공식 코드Re-thinking Model Inversion Attacks Against Deep Neural Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.