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/zhixuan-lin/ensemble-rl-discrete
공식 코드https://github.com/zhongyy/Adversarial_MTER
공식 코드Adversarial Learning with Margin-based Triplet Embedding Regularization
https://github.com/zhongyy/Face-Transformer
공식 코드https://github.com/zhongyy/SFace
공식 코드SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognition
https://github.com/zhongyy/opom
공식 코드OPOM: Customized Invisible Cloak towards Face Privacy Protection
https://github.com/zhu-edward/dgsqp
공식 코드A Sequential Quadratic Programming Approach to the Solution of Open-Loop Generalized Nash Equilibria
https://github.com/zhu00121/universal-representation-dynamics-of-deepfake-speech
공식 코드https://github.com/zhuccly/srn
공식 코드Reasoning Structural Relation for Occlusion-Robust Facial Landmark Localization
https://github.com/zhuhao-nju/describe3d
공식 코드High-Fidelity 3D Face Generation from Natural Language Descriptions
https://github.com/zhuhao-nju/facescape
공식 코드FaceScape: 3D Facial Dataset and Benchmark for Single-View 3D Face Reconstruction
https://github.com/zhuhao-nju/rafare
공식 코드RAFaRe: Learning Robust and Accurate Non-parametric 3D Face Reconstruction from Pseudo 2D&3D Pairs
https://github.com/zhuyuanyang/udprl
공식 코드https://github.com/zimzsh/cross-corpus-readability-compatibility-assessment-for-english-texts
공식 코드Cross-corpus Readability Compatibility Assessment for English Texts
https://github.com/ziqian2000/smiling
공식 코드Diffusing States and Matching Scores: A New Framework for Imitation Learning
https://github.com/ziqiao-shang/aunce
공식 코드Learning Contrastive Feature Representations for Facial Action Unit Detection
https://github.com/ziqihuangg/collaborative-diffusion
공식 코드Collaborative Diffusion for Multi-Modal Face Generation and Editing
https://github.com/zitongyu/flex-modal-fas
공식 코드https://github.com/zjlab-ammi/hs-omrl
공식 코드On Context Distribution Shift in Task Representation Learning for Offline Meta RL
https://github.com/zju-pi/awesome-diffusion-generated-image-detection
공식 코드Recent Advances on Generalizable Diffusion-generated Image Detection
https://github.com/zma-c-137/VarGFaceNet
공식 코드https://github.com/zoukaifeng/4dfm
공식 코드https://github.com/zouxinyi0625/cdnet
공식 코드https://github.com/zpguigroupwhu/meancut-clustering
공식 코드MeanCut: A Greedy-Optimized Graph Clustering via Path-based Similarity and Degree Descent Criterion
https://github.com/zqbai-jeremy/INORig
공식 코드https://github.com/zwfightzw/Meta-Critic
공식 코드Online Meta-Critic Learning for Off-Policy Actor-Critic Methods
https://github.com/zwx8981/adth-qa
공식 코드A Comparative Study of Perceptual Quality Metrics for Audio-driven Talking Head Videos
https://github.com/zyainfal/One-Shot-Face-Swapping-on-Megapixels
공식 코드https://github.com/zyh-uaiaaaa/erasing-attention-consistency
공식 코드Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition
https://github.com/zyh-uaiaaaa/generalizable-fer
공식 코드https://github.com/zyx2012/Age_estimation_BMVC2017
공식 코드https://github.com/zyzhangustc/mellm
공식 코드MELLM: Exploring LLM-Powered Micro-Expression Understanding Enhanced by Subtle Motion Perception
https://gitlab.com/acit-lausanne/refacing-cgan
공식 코드https://gitlab.com/pl8787/CaffeAttention
공식 코드https://gitlab.idiap.ch/biometric/icassp2024.dvpf
공식 코드Deep Variational Privacy Funnel: General Modeling with Applications in Face Recognition
https://gitlab.idiap.ch/bob/bob.paper.backdoors_anomaly_detection.biosig2022
공식 코드An anomaly detection approach for backdoored neural networks: face recognition as a case study
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.