Papers with Code 아카이브

3D Face Modelling

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

2

평가표

2

보존된 평가 기록

3

코드

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

https://gitlab.idiap.ch/bob/bob.paper.eusipco2023_mlphash

공식 코드

MLP-Hash: Protecting Face Templates via Hashing of Randomized Multi-Layer Perceptron

https://gitlab.idiap.ch/bob/bob.paper.icassp2021_morph

공식 코드

Vulnerability Analysis of Face Morphing Attacks from Landmarks and Generative Adversarial Networks

https://gitlab.idiap.ch/bob/bob.paper.icassp2022_morph_generate

공식 코드

Are GAN-based Morphs Threatening Face Recognition?

https://gitlab.idiap.ch/bob/bob.paper.ijcb2021_synthetic_dataset

공식 코드

On the use of automatically generated synthetic image datasets for benchmarking face recognition

https://gitlab.idiap.ch/bob/bob.paper.ijcb2023_caim_hfr

공식 코드

Bridging the Gap: Heterogeneous Face Recognition with Conditional Adaptive Instance Modulation

https://gitlab.idiap.ch/bob/bob.paper.ijcb2023_synthdistill

공식 코드

SynthDistill: Face Recognition with Knowledge Distillation from Synthetic Data

https://gitlab.idiap.ch/bob/bob.paper.ijcb2024_agnostic_features_mad

공식 코드

Evaluating the Effectiveness of Attack-Agnostic Features for Morphing Attack Detection

https://gitlab.idiap.ch/bob/bob.paper.tifs2022_hfr_prepended_domain_transformer

공식 코드

Prepended Domain Transformer: Heterogeneous Face Recognition without Bells and Whistles

https://huggingface.co/FoivosPar/Arc2Face

공식 코드

Arc2Face: A Foundation Model for ID-Consistent Human Faces

https://worksheets.codalab.org/worksheets/0x7b8f6fbc6b5c49c18ac7ca94aafaa1a7

공식 코드

Network In Network

https://bitbucket.org/act-lab/release

Proximal Policy Optimization Algorithms

https://bitbucket.org/nishkalavallabhi/complexity-features

Readability-based Sentence Ranking for Evaluating Text Simplification

https://dagshub.com/Bharat-mtr/LightCNN

A Light CNN for Deep Face Representation with Noisy Labels

https://dagshub.com/Bharat-mtr/One_Shot_Face_Reenactment

One-shot Face Reenactment

https://gitee.com/gai-shaoyan/mind3d

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

https://github.com/09jvilla/CS234_gym

Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research

https://github.com/1110589721/openia-gym

Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research

https://github.com/163GitHub/AI

High-Resolution Representations for Labeling Pixels and Regions

https://github.com/170928/-Review-Generative-Adversarial-Imitation-Learning

Proximal Policy Optimization Algorithms

https://github.com/170928/-Review-Proximal-Policy-Optimization-Algorithms

Proximal Policy Optimization Algorithms

https://github.com/18alantom/identify

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/18alantom/smel_project

FaceNet: A Unified Embedding for Face Recognition and Clustering

https://github.com/1996scarlet/ArcFace-Multiplex-Recognition

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

https://github.com/1996scarlet/Laser-Eye

RetinaFace: Single-stage Dense Face Localisation in the Wild

https://github.com/1996scarlet/dense-head-pose-estimation

Face Alignment in Full Pose Range: A 3D Total Solution

https://github.com/1996scarlet/faster-mobile-retinaface

RetinaFace: Single-stage Dense Face Localisation in the Wild

https://github.com/1adrianb/2D-and-3D-face-alignment

How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)

https://github.com/1adrianb/binary-face-alignment

Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources

https://github.com/1adrianb/binary-human-pose-estimation

Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources

https://github.com/1adrianb/face-alignment-training

How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)

https://github.com/1chenchen22/LFNSB

https://github.com/1ho0jin1/QMUL-SurvFace-Open-Set-Identification

Surveillance Face Recognition Challenge

https://github.com/2023-MindSpore-1/ms-code-16/tree/main/ADNet

ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging

https://github.com/2023-MindSpore-1/ms-code-162

Deep High-Resolution Representation Learning for Visual Recognition

https://github.com/2023-MindSpore-1/ms-code-177

Deep Residual Learning for Image Recognition

https://github.com/2023-MindSpore-1/ms-code-178

RetinaFace: Single-stage Dense Face Localisation in the Wild

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