Papers with Code 아카이브
3D Face Modelling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
- 2
- 보존된 평가 기록
- 3
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/MNaplesDevelopment/DCGAN-PyTorch
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/MNaplesDevelopment/Deep-Convolutional-Generative-Adversarial-Networks
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/MNaplesDevelopment/MNIST-DCGAN-PyTorch
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/MS-Mind/MS-Code-02/tree/main/configs/mixnet
https://github.com/MS-Mind/MS-Code-02/tree/main/configs/resnet
https://github.com/MS-Mind/MS-Code-06/tree/main/PGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/MagaliDrumare/Augmented-Random-Search-ARS-Intuition
Simple random search provides a competitive approach to reinforcement learning
https://github.com/MaksimIM/aml
Analytic Manifold Learning: Unifying and Evaluating Representations for Continuous Control
https://github.com/MalayAgarwal-Lee/MesoNet-DeepFakeDetection
https://github.com/MaliParag/ScanSSD
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Maninder10/face
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/ManyiLee/Open-world-Deepfake-Detection-Network
ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks
https://github.com/MariefW/6.-trainingYOLO
https://github.com/MarkHershey/arxiv-dl
https://github.com/MarsEleven/car_racer_RL
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
https://github.com/Martion-z/Paddle-PULSE
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
https://github.com/Martion-z/pytorch-Pulse
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
https://github.com/Masao-Taketani/FOTS_OCR
https://github.com/Maskify/darknet
https://github.com/MatGod7/Retinaface
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/MathPhysSim/PER-NAF
https://github.com/MathiasStensrud/autoBleep
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/MatteoBrentegani/PPO
https://github.com/MatthieuSarkis/Portfolio-Optimization-and-Goal-Based-Investment-with-Reinforcement-Learning
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
https://github.com/Maveric4/pr19aaw01
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/MaxLikesMath/DeepLearningImplementations
DeXpression: Deep Convolutional Neural Network for Expression Recognition
https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code/tree/main/Network_In_Network
https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code/tree/main/Proximal_Policy_Optimization_Algorithms
https://github.com/MaximilianHollis/Maskify
BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs
https://github.com/MaxwellHeller/coffee_fraud_detection
https://github.com/Mayurji/Image-Classification-PyTorch
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Medabid1/RL_Project
https://github.com/MegEngine/Models/tree/master/official/vision/classification/resnet
https://github.com/MegEngine/Models/tree/master/official/vision/detection
https://github.com/Meghraj-Webllisto/stylegan
Very Deep Convolutional Networks for Large-Scale Image Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.