Papers with Code 아카이브

3D Face Modelling

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평가표

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보존된 평가 기록

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코드

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

https://github.com/YZY-stack/DF40

공식 코드

DF40: Toward Next-Generation Deepfake Detection

https://github.com/YaN9-Y/lafin

공식 코드

LaFIn: Generative Landmark Guided Face Inpainting

https://github.com/YadiraF/DECA

공식 코드

Learning an Animatable Detailed 3D Face Model from In-The-Wild Images

https://github.com/YadiraF/PIXIE

공식 코드

Collaborative Regression of Expressive Bodies using Moderation

https://github.com/YadiraF/PRNet

공식 코드

Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network

https://github.com/YangNaruto/FQ-GAN

공식 코드

Feature Quantization Improves GAN Training

https://github.com/YantaoShen/openBCT

공식 코드

Towards Backward-Compatible Representation Learning

https://github.com/YaoYao1995/MEEE

공식 코드

Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation

https://github.com/YonghaoHe/A-Light-and-Fast-Face-Detector-for-Edge-Devices

공식 코드

LFFD: A Light and Fast Face Detector for Edge Devices

https://github.com/YoushanZhang/Adversarial-Regression-Learning-for-Bone-Age-Estimation

공식 코드

Adversarial Regression Learning for Bone Age Estimation

https://github.com/YuYin1/DA-GAN

공식 코드

Dual-Attention GAN for Large-Pose Face Frontalization

https://github.com/YudongGuo/AD-NeRF

공식 코드

AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis

https://github.com/Yushgoel/AdversarialAttack

공식 코드

An Empirical Review of Adversarial Defenses

https://github.com/Yusufma03/CVRL

공식 코드

Contrastive Variational Reinforcement Learning for Complex Observations

https://github.com/Yuto-Matsunaga/Prompt_Tuning_for_Audio_Deepfake_Detection

공식 코드

Prompt Tuning for Audio Deepfake Detection: Computationally Efficient Test-time Domain Adaptation with Limited Target Dataset

https://github.com/YuvalNirkin/fsgan

공식 코드

FSGAN: Subject Agnostic Face Swapping and Reenactment

https://github.com/ZEISS/iPad_TrueDepth_Issue_App

공식 코드

On the Issues of TrueDepth Sensor Data for Computer Vision Tasks Across Different iPad Generations

https://github.com/ZEISS/iPad_TrueDepth_Issue_Eval

공식 코드

On the Issues of TrueDepth Sensor Data for Computer Vision Tasks Across Different iPad Generations

https://github.com/ZJU-Brain/OTFPF

공식 코드

OTFPF: Optimal Transport-Based Feature Pyramid Fusion Network for Brain Age Estimation with 3D Overlapped ConvNeXt

https://github.com/ZLeopard/PEDCC-Loss

공식 코드

A New Loss Function for CNN Classifier Based on Pre-defined Evenly-Distributed Class Centroids

https://github.com/ZamDimon/liveness-detection

공식 코드

Cross-Database Liveness Detection: Insights from Comparative Biometric Analysis

https://github.com/ZhaoJ9014/High_Performance_Face_Recognition

공식 코드

Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition

https://github.com/ZhaoJ9014/face.evoLVe.PyTorch

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Face.evoLVe: A High-Performance Face Recognition Library

https://github.com/ZhaoxuanWu/Trusted-Maximizers-Entropy-Search-BO

공식 코드

Trusted-Maximizers Entropy Search for Efficient Bayesian Optimization

https://github.com/Zheng222/DMFN

공식 코드

Image Fine-grained Inpainting

https://github.com/ZhenghLi/Automated-Detection-of-Equine-Facial-Action-Units

공식 코드

Automated Detection of Equine Facial Action Units

https://github.com/ZhengyaoJiang/latentplan

공식 코드

Efficient Planning in a Compact Latent Action Space

https://github.com/ZhiwenShao/ADLD

공식 코드

Unconstrained Facial Action Unit Detection via Latent Feature Domain

https://github.com/ZhiwenShao/MCNet-Extension

공식 코드

Deep Multi-Center Learning for Face Alignment

https://github.com/ZhiwenShao/PyTorch-JAANet

공식 코드

J$\hat{\text{A}}$A-Net: Joint Facial Action Unit Detection and Face Alignment via Adaptive Attention

https://github.com/ZichenMiao/GNN-with-Low-rank-Learnable-Local-Filters

공식 코드

Graph Convolution with Low-rank Learnable Local Filters

https://github.com/ZichenMiao/L3Net

공식 코드

Graph Convolution with Low-rank Learnable Local Filters

https://github.com/Zielon/MICA

공식 코드

Towards Metrical Reconstruction of Human Faces

https://github.com/ZikangXiong/rl-detect-and-denoise-defense

공식 코드

Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising

https://github.com/ZiqiaoPeng/SyncTalk

공식 코드

SyncTalk: The Devil is in the Synchronization for Talking Head Synthesis

https://github.com/ZitongYu/CDCN

공식 코드

Searching Central Difference Convolutional Networks for Face Anti-Spoofing

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