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

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보존된 평가 기록

3

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/Suci2609/generate_train_list.py-

Focal Loss for Dense Object Detection

https://github.com/SupratimH/neural-style-transfer

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/Surya9787/suryaprakash

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/Sushma07/dancedarknet

Focal Loss for Dense Object Detection

https://github.com/SuyashSonawane/fakedetector

FaceForensics++: Learning to Detect Manipulated Facial Images

https://github.com/Swybino/PotatoNet

PyramidBox: A Context-assisted Single Shot Face Detector

https://github.com/T3chy/DDPG

Continuous control with deep reinforcement learning

https://github.com/THHHomas/mls

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

https://github.com/TUM-ML-Lab18/FaceSwap

Progressive Growing of GANs for Improved Quality, Stability, and Variation

https://github.com/Taeuk-Jang/pointcompletion

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

https://github.com/TakaOsa/LTD3

Discovering Diverse Solutions in Deep Reinforcement Learning by Maximizing State-Action-Based Mutual Information

https://github.com/Talgin/facerec

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

https://github.com/TangrisJones/AI-dfa

DeepFaceLab: Integrated, flexible and extensible face-swapping framework

https://github.com/Tao-Mind/QDD_Net

A Structured Self-attentive Sentence Embedding

https://github.com/Taoudi/LotteryTicketHypothesis

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/Tdjaaleb/Exploratory-Mean-Variance

Continuous-Time Mean-Variance Portfolio Selection: A Reinforcement Learning Framework

https://github.com/Team-Neighborhood/awesome-face-detection

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

https://github.com/Techyee/darknet_resource

Focal Loss for Dense Object Detection

https://github.com/TejasGode/One-Shot-Learning-for-Face-Recognition

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/Tencent/FaceDetection-DSFD

DSFD: Dual Shot Face Detector

https://github.com/TencentYoutuResearch/3DFaceReconstruction-LAP

Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo Collection

https://github.com/TencentYoutuResearch/Adv-Makeup

Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition

https://github.com/ThanasisMattas/smartflow

Deep Residual Learning for Image Recognition

https://github.com/TheInfamousWayne/ddpg

Continuous control with deep reinforcement learning

https://github.com/Thehunk1206/Covid-19-chest-X-ray

Deep Residual Learning for Image Recognition

https://github.com/Thehunk1206/Covid-19-covidcnn

Deep Residual Learning for Image Recognition

https://github.com/Thehunk1206/Zero-DCE

Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement

https://github.com/Thinklab-SJTU/CSL_RetinaNet_Tensorflow

Focal Loss for Dense Object Detection

https://github.com/ThomasWangY/2024-AAAI-HPT

Learning to Prompt for Vision-Language Models

https://github.com/ThrupthiAnn/ThrupthiAnn.github.io

Low-Cost Transfer Learning of Face Tasks

https://github.com/TieDanCuihua/A-STRUCTURED-SELF-ATTENTIVE-SENTENCE-EMBEDDING

A Structured Self-attentive Sentence Embedding

https://github.com/TimoBolkart/BFM_to_FLAME

https://github.com/TimoBolkart/FLAME-Blender-Add-on

https://github.com/TimoBolkart/FLAME-Universe

https://github.com/TimoBolkart/TF_FLAME

https://github.com/TinDang97/face_recognition

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

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