https://github.com/schatty/mocco
공식 코드Guided Exploration in Reinforcement Learning via Monte Carlo Critic Optimization
Papers with Code 아카이브
3D Face Modelling
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/sciencefans/Quality-Aware-Network
공식 코드https://github.com/sciencefans/RSA-for-object-detection
공식 코드https://github.com/sclbd/deepfakebench
공식 코드DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection
https://github.com/scu-zjz/forensichub
공식 코드ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization
https://github.com/searecluse/cvprw2024
공식 코드https://github.com/seasonSH/LiftedGAN
공식 코드https://github.com/seasonSH/Probabilistic-Face-Embeddings
공식 코드https://github.com/sebastianrisi/ga-world-models
공식 코드https://github.com/secml-lab-vt/EvolvingThreat-DeepfakeImageDetect
공식 코드An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape
https://github.com/securifai/masked_faces
공식 코드A realistic approach to generate masked faces applied on two novel masked face recognition data sets
https://github.com/sefaburakokcu/finn-quantized-yolo
공식 코드https://github.com/semchan/HyperLips
공식 코드HyperLips: Hyper Control Lips with High Resolution Decoder for Talking Face Generation
https://github.com/seongwoongcho/meta-controller
공식 코드Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous Control
https://github.com/setarehc/deep_rl_regions
공식 코드Understanding the Evolution of Linear Regions in Deep Reinforcement Learning
https://github.com/seva100/stylegan-for-facerec
공식 코드https://github.com/seymayucer/facialphenotypes
공식 코드Measuring Hidden Bias within Face Recognition via Racial Phenotypes
https://github.com/sfujim/BCQ
공식 코드https://github.com/sfujim/TD3
공식 코드Addressing Function Approximation Error in Actor-Critic Methods
https://github.com/sfujim/td7
공식 코드For SALE: State-Action Representation Learning for Deep Reinforcement Learning
https://github.com/sfzhang15/FaceBoxes
공식 코드https://github.com/sfzhang15/SFD
공식 코드https://github.com/sh1newu/advmark
공식 코드Are Watermarks Bugs for Deepfake Detectors? Rethinking Proactive Forensics
https://github.com/sh1newu/sepmark
공식 코드SepMark: Deep Separable Watermarking for Unified Source Tracing and Deepfake Detection
https://github.com/shahroztariq/CLRNet
공식 코드A Convolutional LSTM based Residual Network for Deepfake Video Detection
https://github.com/shaibagon/large_scale_cc
공식 코드https://github.com/shaneshixiang/rllabplusplus
공식 코드Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic
https://github.com/shanface33/deepfake_model_attribution
공식 코드https://github.com/shanface33/gpt4mf_ub
공식 코드Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics
https://github.com/shangeth/Speaker-Representation-for-Speaker-Profiling
공식 코드Learning Speaker Representation with Semi-supervised Learning approach for Speaker Profiling
https://github.com/sharpstill/AU_R-CNN
공식 코드AU R-CNN: Encoding Expert Prior Knowledge into R-CNN for Action Unit Detection
https://github.com/shawnxyang/tip-im
공식 코드Towards Face Encryption by Generating Adversarial Identity Masks
https://github.com/shengfly/global-local-transformer
공식 코드https://github.com/shengjiewang-jason/efficientzerov2
공식 코드EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data
https://github.com/shentao-yang/ampl_neurips2022
공식 코드A Unified Framework for Alternating Offline Model Training and Policy Learning
https://github.com/shentao-yang/sdm-gan_icml2022
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.