Papers with Code 아카이브

3D Face Modelling

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

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/megvii-research/basecls/tree/main/zoo/public/hrnet

Deep High-Resolution Representation Learning for Visual Recognition

https://github.com/megvii-research/basecls/tree/main/zoo/public/resnet

Deep Residual Learning for Image Recognition

https://github.com/megvii-research/basecls/tree/main/zoo/public/vgg

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/mehdimashayekhi/Some-RL-Implementation

Conservative Q-Learning for Offline Reinforcement Learning

https://github.com/melgor/pyface

Learning Face Representation from Scratch

https://github.com/mengfu188/insightface.bak

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

https://github.com/mengxingshifen1218/pointnet.pytorch

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

https://github.com/menyifang/adgan

Controllable Person Image Synthesis with Attribute-Decomposed GAN

https://github.com/merazlab/3D_Deep_Learning_Link

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

https://github.com/mflames0327/DF-MOUTH

DeepFaceLab: Integrated, flexible and extensible face-swapping framework

https://github.com/mg515/lie-detektor

Enriched Long-term Recurrent Convolutional Network for Facial Micro-Expression Recognition

https://github.com/mgonzalezrivero/reef_learning

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/mhagiwara/nanigonet

Deep Residual Learning for Image Recognition

https://github.com/mic-dkfz/medicaldetectiontoolkit

Focal Loss for Dense Object Detection

https://github.com/miccunifi/scantalk

Beyond Fixed Topologies: Unregistered Training and Comprehensive Evaluation Metrics for 3D Talking Heads

https://github.com/michael-snower/ppo

Proximal Policy Optimization Algorithms

https://github.com/microsoft/Mask-based-Latent-Reconstruction

CURL: Contrastive Unsupervised Representations for Reinforcement Learning

https://github.com/microsoft/computervision-recipes/blob/master/scenarios/similarity/02_state_of_the_art.ipynb

Classification is a Strong Baseline for Deep Metric Learning

https://github.com/microsoft/fb.resnet.torch

Deep Residual Learning for Image Recognition

https://github.com/microsoft/lightatac

Adversarially Trained Actor Critic for Offline Reinforcement Learning

https://github.com/microsoft/strategically_efficient_rl

Proximal Policy Optimization Algorithms

https://github.com/midas-research/text2facegan

Text2FaceGAN: Face Generation from Fine Grained Textual Descriptions

https://github.com/midhun-em/face_recognition_facenet

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/mightypirate1/DRL-Tetris

High-Dimensional Continuous Control Using Generalized Advantage Estimation

https://github.com/mightypirate1/PPO_homebrew

Proximal Policy Optimization Algorithms

https://github.com/mike07026/insightface_20190620

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

https://github.com/mikekestemont/deepscript

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/mikelasz/fair-psp

Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation

https://github.com/mikgur/MADE_CV_1000_facial_landmarks

Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks

https://github.com/milutter/value_iteration

Robust Value Iteration for Continuous Control Tasks

https://github.com/mindlab-ai/mindcv/blob/main/examples/train_cifar_dynamic.py

Deep Residual Learning for Image Recognition

https://github.com/mindlab-ai/mindcv/blob/main/mindcv/models/resnet.py

Deep Residual Learning for Image Recognition

https://github.com/mindlab-ai/mindcv/blob/main/mindcv/models/vgg.py

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/mindslab-ai/faceshifter

FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping

https://github.com/mindslab-ai/hififace

HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping

https://github.com/mindslab-mwc5697/facenet_upload

Learning Face Representation from Scratch

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.