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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/chailab-umich/ModelingIndividualEvaluators

공식 코드

The Whole Is Bigger Than the Sum of Its Parts: Modeling Individual Annotators to Capture Emotional Variability

https://github.com/chandlerbing65nm/FakeImageDetection

공식 코드

Frequency Masking for Universal Deepfake Detection

https://github.com/chaochao-lin/atr-fas

공식 코드

Enhancing Mobile Face Anti-Spoofing: A Robust Framework for Diverse Attack Types under Screen Flash

https://github.com/chaofengc/Face-Sketch

공식 코드

Face Sketch Synthesis with Style Transfer using Pyramid Column Feature

https://github.com/chaofengc/Face-Sketch-Wild

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Semi-Supervised Learning for Face Sketch Synthesis in the Wild

https://github.com/charsyme/Human-Data-Generation-Framework

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Efficient Realistic Data Generation Framework leveraging Deep Learning-based Human Digitization

https://github.com/chelsea234/hifi_ifdl

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DeepFake-O-Meter v2.0: An Open Platform for DeepFake Detection

https://github.com/chelsea234/m2f2_det

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Rethinking Vision-Language Model in Face Forensics: Multi-Modal Interpretable Forged Face Detector

https://github.com/chenchao666/Bone-Age-Assessment

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Attention-Guided Discriminative Region Localization and Label Distribution Learning for Bone Age Assessment

https://github.com/chenqikong/m3fas

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M3FAS: An Accurate and Robust MultiModal Mobile Face Anti-Spoofing System

https://github.com/chenzhe207/FDLSR

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Fisher Discriminative Least Squares Regression for Image Classification

https://github.com/chihfanhsu/fl_detection

공식 코드

A Detailed Look At CNN-based Approaches In Facial Landmark Detection

https://github.com/choapinus/densenet10

공식 코드

On the Feasibility of Creating Iris Periocular Morphed Images

https://github.com/choyingw/SynergyNet

공식 코드

Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry

https://github.com/choyingw/Voice2Mesh

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Voice2Mesh: Cross-Modal 3D Face Model Generation from Voices

https://github.com/chrisdonahue/sdgan

공식 코드

Semantically Decomposing the Latent Spaces of Generative Adversarial Networks

https://github.com/christianbv/AgeNet

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Facial Age Estimation using Convolutional Neural Networks

https://github.com/christophersims/fmri_adhd_classification

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Highly Accurate FMRI ADHD Classification using time distributed multi modal 3D CNNs

https://github.com/chuangchuangtan/c2p-clip-deepfakedetection

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C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection

https://github.com/chuangchuangtan/data-independent-operator

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Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection

https://github.com/chuangchuangtan/freqnet-deepfakedetection

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Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Learning

https://github.com/chuangchuangtan/npr-deepfakedetection

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Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection

https://github.com/clad23/clad

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CLAD: Robust Audio Deepfake Detection Against Manipulation Attacks with Contrastive Learning

https://github.com/cleardusk/3DDFA

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

https://github.com/cleardusk/3DDFA_V2

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Towards Fast, Accurate and Stable 3D Dense Face Alignment

https://github.com/cleardusk/MFR

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Learning Meta Face Recognition in Unseen Domains

https://github.com/cleardusk/MeGlass

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Face Synthesis for Eyeglass-Robust Face Recognition

https://github.com/clferrari/facepartsswap

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What makes you, you? Analyzing Recognition by Swapping Face Parts

https://github.com/clks-wzz/FAS-SGTD

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Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing

https://github.com/clks-wzz/epcr

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Consistency Regularization for Deep Face Anti-Spoofing

https://github.com/clovaai/EXTD_Pytorch

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EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse

https://github.com/clovaai/eresfd

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EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection

https://github.com/clpeng/Awesome-Face-Forgery-Generation-and-Detection

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Countering Malicious DeepFakes: Survey, Battleground, and Horizon

https://github.com/cmry/reap

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Adversarial Stylometry in the Wild: Transferable Lexical Substitution Attacks on Author Profiling

https://github.com/cnnlstm/fslsd_hires

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High-resolution Face Swapping via Latent Semantics Disentanglement

https://github.com/controlnet/av-deepfake1m

공식 코드

AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake Dataset

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