https://github.com/royorel/StyleSDF
공식 코드StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation
Papers with Code 아카이브
3D Face Modelling
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/rperi/trustworthy-asv-fairness
공식 코드https://github.com/rshaojimmy/AAAI2020-RFMetaFAS
공식 코드https://github.com/rshaojimmy/deepfake-adapter
공식 코드https://github.com/rshaojimmy/multimodal-deepfake
공식 코드https://github.com/rshaojimmy/seqdeepfake
공식 코드https://github.com/rub-syssec/generatedmediasurvey
공식 코드A Representative Study on Human Detection of Artificially Generated Media Across Countries
https://github.com/rub-syssec/wavefake
공식 코드https://github.com/ruihuang1967/Deep-GRAIL
공식 코드Rate-Splitting for Intelligent Reflecting Surface-Aided Multiuser VR Streaming
https://github.com/ruijiezhu94/ti-face
공식 코드TIFace: Improving Facial Reconstruction through Tensorial Radiance Fields and Implicit Surfaces
https://github.com/ruizhe-l/tgb-gan
공식 코드https://github.com/ruohliuq/c-morl
공식 코드C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front
https://github.com/ry85/Stochastic-Talking-Face-Generation-Using-Latent-Distribution-Matching
공식 코드Stochastic Talking Face Generation Using Latent Distribution Matching
https://github.com/ryanhe312/LatentFace
공식 코드A Generative Framework for Self-Supervised Facial Representation Learning
https://github.com/ryansteed/ieat
공식 코드Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases
https://github.com/ryansteed/learning-appearance-bias
공식 코드A Set of Distinct Facial Traits Learned by Machines Is Not Predictive of Appearance Bias in the Wild
https://github.com/sachith500/ContrastiveFaceRepresentation
공식 코드Multi-Dataset Benchmarks for Masked Identification using Contrastive Representation Learning
https://github.com/saferl-lab/rlbenchnet
공식 코드RLBenchNet: The Right Network for the Right Reinforcement Learning Task
https://github.com/sagar-pa/crystalbox
공식 코드CrystalBox: Future-Based Explanations for Input-Driven Deep RL Systems
https://github.com/sahandrez/homomorphic_policy_gradient
공식 코드Continuous MDP Homomorphisms and Homomorphic Policy Gradient
https://github.com/sahandrez/rotate_suite
공식 코드Policy Gradient Methods in the Presence of Symmetries and State Abstractions
https://github.com/sahasubhajit/Speech-Spoofing-
공식 코드https://github.com/sahilg06/EmoGen
공식 코드https://github.com/saic-violet/bilayer-model
공식 코드Fast Bi-layer Neural Synthesis of One-Shot Realistic Head Avatars
https://github.com/sail-sg/ild
공식 코드https://github.com/sam575/axial-gan
공식 코드https://github.com/samir-atra/emotion_estimation_from_video_footage_with_lstm_ml_algorithm
공식 코드https://github.com/samuelmallick/supervised-learning-pwa-mpc
공식 코드Learning-Based Model Predictive Control for Piecewise Affine Systems with Feasibility Guarantees
https://github.com/sanjaysaha1311/temporal-deepfake-segmentation
공식 코드https://github.com/sanoojan/reface
공식 코드Realistic and Efficient Face Swapping: A Unified Approach with Diffusion Models
https://github.com/sariyanidi/M3DFB
공식 코드3D Face Reconstruction Error Decomposed: A Modular Benchmark for Fair and Fast Method Evaluation
https://github.com/sashankmvv/Emotion-recognition
공식 코드Facial Emotion Recognition: A multi-task approach using deep learning
https://github.com/sbelharbi/interpretable-fer-aus
공식 코드Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues
https://github.com/sbelharbi/structured-output-ae
공식 코드Deep Neural Networks Regularization for Structured Output Prediction
https://github.com/sccsok/Locate-and-Verify
공식 코드Locate and Verify: A Two-Stream Network for Improved Deepfake Detection
https://github.com/schatty/EMAC
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.