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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/arassadin/emotiw2017

공식 코드

Group-level Emotion Recognition using Transfer Learning from Face Identification

https://github.com/aravinda27/extswap

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ExtSwap: Leveraging Extended Latent Mapper for Generating High Quality Face Swapping

https://github.com/architect-road/icongan

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Design What You Desire: Icon Generation from Orthogonal Application and Theme Labels

https://github.com/arctrinity9/datasets-reachocc-and-synchocc

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Self-Supervised Robustifying Guidance for Monocular 3D Face Reconstruction

https://github.com/aria-zhangjl/e3-facenet

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Fast Text-to-3D-Aware Face Generation and Manipulation via Direct Cross-modal Mapping and Geometric Regularization

https://github.com/arin-upna/biased-heritage

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Biased Heritage: How Datasets Shape Models in Facial Expression Recognition

https://github.com/arkel23/animesion

공식 코드

DAF:re: A Challenging, Crowd-Sourced, Large-Scale, Long-Tailed Dataset For Anime Character Recognition

https://github.com/arnesh2212/SocialDF

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SocialDF: Benchmark Dataset and Detection Model for Mitigating Harmful Deepfake Content on Social Media Platforms

https://github.com/arpitbansal297/universal-guided-diffusion

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Universal Guidance for Diffusion Models

https://github.com/arturjordao/IncrementalDimensionalityReduction

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Covariance-free Partial Least Squares: An Incremental Dimensionality Reduction Method

https://github.com/aryan-garg/styledcgan

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Parameter and Data-Efficient Spectral StyleDCGAN

https://github.com/asankagp/mod20

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A Multi-viewpoint Outdoor Dataset for Human Action Recognition

https://github.com/ashafahi/inceptionv3-transferLearn-poison

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Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks

https://github.com/asindel/artfacepoints

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ArtFacePoints: High-resolution Facial Landmark Detection in Paintings and Prints

https://github.com/asvspoof-challenge/2021

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ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan

https://github.com/atzoriandrea/Exploratory-Analysis-in-Face-Authentication

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Explaining Bias in Deep Face Recognition via Image Characteristics

https://github.com/audeering/w2v2-how-to

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Dawn of the transformer era in speech emotion recognition: closing the valence gap

https://github.com/autonomousvehiclelaboratory/anonymization

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Robust Human Identity Anonymization using Pose Estimation

https://github.com/awslabs/cis-matching-tasks

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Confidence Intervals for Error Rates in 1:1 Matching Tasks: Critical Statistical Analysis and Recommendations

https://github.com/axeber01/dold

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Deep Ordinal Regression with Label Diversity

https://github.com/azadlab/FExGAN

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Explore the Expression: Facial Expression Generation using Auxiliary Classifier Generative Adversarial Network

https://github.com/azadlab/FExGAN-Meta

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FExGAN-Meta: Facial Expression Generation with Meta Humans

https://github.com/azgo14/classification_metric_learning

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Classification is a Strong Baseline for Deep Metric Learning

https://github.com/azrealwang/sgadv

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Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition

https://github.com/baidu/AdvBox

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Advbox: a toolbox to generate adversarial examples that fool neural networks

https://github.com/bairdzhang/smallhardface

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Robust Face Detection via Learning Small Faces on Hard Images

https://github.com/baiyangwang/emgan

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Generative Adversarial Nets for Multiple Text Corpora

https://github.com/baoshengyu/H3R

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Heatmap Regression via Randomized Rounding

https://github.com/barisbatuhan/dass_det_inference

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Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings

https://github.com/barisbatuhan/dass_detector

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Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings

https://github.com/barisgecer/OSTeC

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OSTeC: One-Shot Texture Completion

https://github.com/barisgecer/TBGAN

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Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks

https://github.com/barisgecer/facegan

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Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model

https://github.com/barisgecer/ganfit

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GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction

https://github.com/barulalithb/stereo-angular-margin

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Improvising the Learning of Neural Networks on Hyperspherical Manifold

https://github.com/bbenligiray/greedy-face-features

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Greedy Search for Descriptive Spatial Face Features

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