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3D Face Modelling

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

https://github.com/caltechvisionlab/frt-rapid-test

공식 코드

A Rapid Test for Accuracy and Bias of Face Recognition Technology

https://github.com/calvincbzhang/orso

공식 코드

ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization

https://github.com/camall3n/markov-state-abstractions

공식 코드

Learning Markov State Abstractions for Deep Reinforcement Learning

https://github.com/canpeng123/fscil_alice

공식 코드

Few-Shot Class-Incremental Learning from an Open-Set Perspective

https://github.com/carolineec/EverybodyDanceNow

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Everybody Dance Now

https://github.com/causalml/bcrl

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Learning Bellman Complete Representations for Offline Policy Evaluation

https://github.com/cbsropenproject/6dof_face

공식 코드

Towards 3D Face Reconstruction in Perspective Projection: Estimating 6DoF Face Pose from Monocular Image

https://github.com/cc-hpc-itwm/facialgan

공식 코드

FacialGAN: Style Transfer and Attribute Manipulation on Synthetic Faces

https://github.com/cc13qq/sapd

공식 코드

Detecting Adversarial Faces Using Only Real Face Self-Perturbations

https://github.com/cccedric/cpql

공식 코드

Boosting Continuous Control with Consistency Policy

https://github.com/ceisenach/MPG

공식 코드

Marginal Policy Gradients: A Unified Family of Estimators for Bounded Action Spaces with Applications

https://github.com/celebv-hq/celebv-hq

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CelebV-HQ: A Large-Scale Video Facial Attributes Dataset

https://github.com/cgcl-codes/amt-gan

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Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer

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/chakrabortyde/mujoco-control-tasks

공식 코드

Exploring reinforcement learning techniques for discrete and continuous control tasks in the MuJoCo environment

https://github.com/chandlerbing65nm/FakeImageDetection

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Frequency Masking for Universal Deepfake Detection

https://github.com/changchencc/plandq

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PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer

https://github.com/changmin-yu/ccwm_code

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Learning State Representations via Retracing in Reinforcement Learning

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

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

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

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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/chelsea234/multi-domain-learning-fas

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Multi-domain Learning for Updating Face Anti-spoofing Models

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

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

https://github.com/choapinus/densenet10

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On the Feasibility of Creating Iris Periocular Morphed Images

https://github.com/choyingw/M3-LRN

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Accurate 3D Facial Geometry Prediction by Multi-Task, Multi-Modal, and Multi-Representation Landmark Refinement Network

https://github.com/choyingw/SynergyNet

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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

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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

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