Papers with Code 아카이브
3D Face Modelling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/cutz-j/FDFtNet
공식 코드FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network
https://github.com/cvgmi/nestedgrassmann
공식 코드Nested Grassmannians for Dimensionality Reduction with Applications
https://github.com/cvi-szu/degstalk
공식 코드DEGSTalk: Decomposed Per-Embedding Gaussian Fields for Hair-Preserving Talking Face Synthesis
https://github.com/cvi-szu/mdhr
공식 코드Multi-scale Dynamic and Hierarchical Relationship Modeling for Facial Action Units Recognition
https://github.com/cvi-szu/me-graphau
공식 코드Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition
https://github.com/cx441000319/drc
공식 코드The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards
https://github.com/cyf-cuber/mol
공식 코드https://github.com/cyj907/unsupervised-detail-layer
공식 코드https://github.com/cyjie429/rego
공식 코드Region-Based Optimization in Continual Learning for Audio Deepfake Detection
https://github.com/czh-98/REALY
공식 코드https://github.com/d-acharya/CovPoolFER
공식 코드https://github.com/daizigege/Identity_hider
공식 코드Seeing is not Believing: An Identity Hider for Human Vision Privacy Protection
https://github.com/damo-cv/mogface
공식 코드https://github.com/daniel3303/storyreasoning
공식 코드StoryReasoning Dataset: Using Chain-of-Thought for Scene Understanding and Grounded Story Generation
https://github.com/danielpalen/value_expansion
공식 코드Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning
https://github.com/danijar/dreamer
공식 코드https://github.com/danjun6737/transface
공식 코드TransFace: Calibrating Transformer Training for Face Recognition from a Data-Centric Perspective
https://github.com/danmohaha/celeb-deepfakeforensics
공식 코드Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics
https://github.com/daooshee/HLA-Face-Code
공식 코드HLA-Face: Joint High-Low Adaptation for Low Light Face Detection
https://github.com/dariant/id-booth
공식 코드ID-Booth: Identity-consistent Face Generation with Diffusion Models
https://github.com/dasec/dataset-duplicates
공식 코드Considerations on the Evaluation of Biometric Quality Assessment Algorithms
https://github.com/dasec/hda-synchildfaces-agetransformation
공식 코드Child Face Recognition at Scale: Synthetic Data Generation and Performance Benchmark
https://github.com/dasec/ladimo
공식 코드LADIMO: Face Morph Generation through Biometric Template Inversion with Latent Diffusion
https://github.com/dasec/tetraloss
공식 코드TetraLoss: Improving the Robustness of Face Recognition against Morphing Attacks
https://github.com/dash-lab/fakeavceleb
공식 코드FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset
https://github.com/datamllab/Mitigating_Gender_Bias_In_Captioning_System
공식 코드https://github.com/datasciencegrimmer/syn-yawpitch
공식 코드https://github.com/david-svitov/margindistillation
공식 코드https://github.com/davidberend/FairnessMatters
공식 코드Fair and accurate age prediction using distribution aware data curation and augmentation
https://github.com/davidcombei/ai4t
공식 코드Unmasking real-world audio deepfakes: A data-centric approach
https://github.com/davide-coccomini/Combining-EfficientNet-and-Vision-Transformers-for-Video-Deepfake-Detection
공식 코드Combining EfficientNet and Vision Transformers for Video Deepfake Detection
https://github.com/davide-coccomini/Combining-EfficientNet-and-Vision-Transformersfor-Video-Deepfake-Detection
공식 코드Combining EfficientNet and Vision Transformers for Video Deepfake Detection
https://github.com/davide-coccomini/Cross-Forgery-Analysis-of-Vision-Transformers-and-CNNs-for-Deepfake-Image-Detection
공식 코드Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection
https://github.com/davide-coccomini/adversarial-magnification-to-deceive-deepfake-detection-through-super-resolution
공식 코드Adversarial Magnification to Deceive Deepfake Detection through Super Resolution
https://github.com/davide-coccomini/deepfake-detection-without-deepfakes-generalization-via-synthetic-frequency-patterns-injection
공식 코드Deepfake Detection without Deepfakes: Generalization via Synthetic Frequency Patterns Injection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.