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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/QingyuZhao/BR-Net

공식 코드

Representation Learning with Statistical Independence to Mitigate Bias

https://github.com/RQuispeC/multi-stream-crowd-counting-extended

공식 코드

Multi-Stream Networks and Ground-Truth Generation for Crowd Counting

https://github.com/RameshaKaru/devi

공식 코드

DEVI: Open-source Human-Robot Interface for Interactive Receptionist Systems

https://github.com/Raschka-research-group/coral-cnn

공식 코드

Rank consistent ordinal regression for neural networks with application to age estimation

https://github.com/Raul2718/FLUXSynID

공식 코드

FLUXSynID: A Framework for Identity-Controlled Synthetic Face Generation with Document and Live Images

https://github.com/RenMin1991/SIDE

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Artificial Immune System of Secure Face Recognition Against Adversarial Attacks

https://github.com/Rock-100/FaceKit

공식 코드

Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks

https://github.com/Rohith-hacker/realtime-faceid

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Real Time Face Recognition Using Convoluted Neural Networks

https://github.com/RoyYuchenHe/BlockSparse

공식 코드

Group Projected Subspace Pursuit for Block Sparse Signal Reconstruction: Convergence Analysis and Applications

https://github.com/Rudrabha/LipGAN

공식 코드

Towards Automatic Face-to-Face Translation

https://github.com/Rudrabha/Wav2Lip

공식 코드

A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wild

https://github.com/SCL-UT/face-manifold

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Face Manifold: Manifold Learning for Synthetic Face Generation

https://github.com/SCUT-AILab/DCP

공식 코드

Discrimination-aware Network Pruning for Deep Model Compression

https://github.com/SHI-Labs/StyleNAT

공식 코드

StyleNAT: Giving Each Head a New Perspective

https://github.com/Seanseattle/MobileFaceSwap

공식 코드

MobileFaceSwap: A Lightweight Framework for Video Face Swapping

https://github.com/Shawn-Shan/fawkes

공식 코드

Fawkes: Protecting Privacy against Unauthorized Deep Learning Models

https://github.com/Shawn-Shan/trapdoor

공식 코드

Gotta Catch 'Em All: Using Honeypots to Catch Adversarial Attacks on Neural Networks

https://github.com/ShawnXYang/Face-Robustness-Benchmark

공식 코드

RobFR: Benchmarking Adversarial Robustness on Face Recognition

https://github.com/SheepBreedingLab-HZAU/LAD-RCNN

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LAD-RCNN:A Powerful Tool for Livestock Face Detection and Normalization

https://github.com/Star-Clouds/CenterFace

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CenterFace: Joint Face Detection and Alignment Using Face as Point

https://github.com/Stillrot/RGINP

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Reference Guided Image Inpainting using Facial Attributes

https://github.com/THUIR/ZhihuRec-Dataset

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A Large-Scale Rich Context Query and Recommendation Dataset in Online Knowledge-Sharing

https://github.com/TadasBaltrusaitis/OpenFace

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Convolutional Experts Constrained Local Model for Facial Landmark Detection

https://github.com/TaharChettaoui/FRoundation

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FRoundation: Are Foundation Models Ready for Face Recognition?

https://github.com/Tencent/TFace

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SDD-FIQA: Unsupervised Face Image Quality Assessment with Similarity Distribution Distance

https://github.com/Tencent/TFace/tree/Adv-Attack-Defense/security/tasks/Adv-Attack-Defense/Sibling-Attack

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Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition

https://github.com/TencentYoutuResearch/OpenWorld-DeepFakeAttribution

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Contrastive Pseudo Learning for Open-World DeepFake Attribution

https://github.com/TimoBolkart/MultilinearWaveletModel

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Multilinear Wavelets: A Statistical Shape Space for Human Faces

https://github.com/TimoBolkart/TEMPEH

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Instant Multi-View Head Capture through Learnable Registration

https://github.com/TimoBolkart/voca

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Capture, Learning, and Synthesis of 3D Speaking Styles

https://github.com/ToniCreswell/attribute-cVAEGAN

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Adversarial Information Factorization

https://github.com/USTC-IMCL/Task-driven-Semantic-Coding-via-RL

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Task-driven Semantic Coding via Reinforcement Learning

https://github.com/UTAustin-SwarmLab/SecureSpectra

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SecureSpectra: Safeguarding Digital Identity from Deep Fake Threats via Intelligent Signatures

https://github.com/Usman1021/DLE

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Deep Ensemble Learning with Frame Skipping for Face Anti-Spoofing

https://github.com/VICO-UoE/L2I

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Learning to Impute: A General Framework for Semi-supervised Learning

https://github.com/Varat7v2/adaptive-threshold

공식 코드

Adaptive Threshold for Online Object Recognition and Re-identification Tasks

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