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3D Face Reconstruction

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하위 태스크: 1
평가표: 9
보존된 평가 기록: 94

3D Face Reconstruction is a computer vision task that involves creating a 3D model of a human face from a 2D image or a set of images. The goal of 3D face reconstruction is to reconstruct a digital 3D representation of a person's face, which can be used for various applications such as animation, virtual reality, and biometric identification.

<span style="color:grey; opacity: 0.6">( Image credit: 3DDFA_V2 )</span>

코드

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

https://github.com/dflip3k/dflip-3k

공식 코드

Linguistic Profiling of Deepfakes: An Open Database for Next-Generation Deepfake Detection

https://github.com/dgragnaniello/PQP

공식 코드

Perceptual Quality-preserving Black-Box Attack against Deep Learning Image Classifiers

https://github.com/dineshsrivasthav/adaptive_meta_learning_with_multi_agent_framework

공식 코드

Adaptive Meta-Learning for Robust Deepfake Detection: A Multi-Agent Framework to Data Drift and Model Generalization

https://github.com/dituu/Semi-Siamese-Training

공식 코드

Semi-Siamese Training for Shallow Face Learning

https://github.com/ditzley/joint-gestures-and-face

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Joint Co-Speech Gesture and Expressive Talking Face Generation using Diffusion with Adapters

https://github.com/dkollias/fair-consistent-affect-analysis

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Rethinking Affect Analysis: A Protocol for Ensuring Fairness and Consistency

https://github.com/dnn-security/gan-watermark

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PTW: Pivotal Tuning Watermarking for Pre-Trained Image Generators

https://github.com/dominickrei/limited-data-vits

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Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders

https://github.com/donydchen/FMPN-FER

공식 코드

Facial Motion Prior Networks for Facial Expression Recognition

https://github.com/dooleys/fr-nas

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Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition

https://github.com/dooleys/robustness

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Robustness Disparities in Face Detection

https://github.com/dooleys/robustness-disparities-in-commercial-face-detection

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Robustness Disparities in Commercial Face Detection

https://github.com/dreamflake/odi

공식 코드

Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input

https://github.com/dreammr/pcl

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Pose-disentangled Contrastive Learning for Self-supervised Facial Representation

https://github.com/duxiaodan/fast_text2stylegan

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Text-Free Learning of a Natural Language Interface for Pretrained Face Generators

https://github.com/dxomark-research/piq2023

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Generalized Portrait Quality Assessment

https://github.com/e4s2023/e4s2023

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E4S: Fine-grained Face Swapping via Editing With Regional GAN Inversion

https://github.com/e4s2024/e4s2024

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E4S: Fine-grained Face Swapping via Editing With Regional GAN Inversion

https://github.com/ebekkers/gsplinets

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B-Spline CNNs on Lie Groups

https://github.com/echoanran/on-mitigating-hard-clusters

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On Mitigating Hard Clusters for Face Clustering

https://github.com/editable-ICLR2020/editable

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Editable Neural Networks

https://github.com/edosedgar/mtcnnattack

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Real-world adversarial attack on MTCNN face detection system

https://github.com/eduardacaldeira/mst-kd

공식 코드

MST-KD: Multiple Specialized Teachers Knowledge Distillation for Fair Face Recognition

https://github.com/eeskimez/emotalkingface

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Speech Driven Talking Face Generation from a Single Image and an Emotion Condition

https://github.com/eglxiang/FacialAU

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Linear Disentangled Representation Learning for Facial Actions

https://github.com/eglxiang/icassp15_emotion

공식 코드

Linear Disentangled Representation Learning for Facial Actions

https://github.com/eglxiang/vgg_face

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Pose-Selective Max Pooling for Measuring Similarity

https://github.com/eglxiang/ytf

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Pose-Selective Max Pooling for Measuring Similarity

https://github.com/ekremerakin/RealWorldOccludedFaces

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On Recognizing Occluded Faces in the Wild

https://github.com/eladrich/pixel2style2pixel

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

https://github.com/eliahuhorwitz/conffusion

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Conffusion: Confidence Intervals for Diffusion Models

https://github.com/emalach/UpdateByDisagreement

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Decoupling "when to update" from "how to update"

https://github.com/emo-box/emobox

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EmoBox: Multilingual Multi-corpus Speech Emotion Recognition Toolkit and Benchmark

https://github.com/engrussman/MAVAE

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Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging

https://github.com/enkiwang/Imperceptible-fake-face-antiforensic

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Perception Matters: Exploring Imperceptible and Transferable Anti-forensics for GAN-generated Fake Face Imagery Detection

https://github.com/ensta-u2is/dido

공식 코드

Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression

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