https://github.com/ningyu1991/ArtificialGANFingerprints
공식 코드Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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>
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data
T2V-DDPM: Thermal to Visible Face Translation using Denoising Diffusion Probabilistic Models
PedRecNet: Multi-task deep neural network for full 3D human pose and orientation estimation
A survey and classification of face alignment methods based on face models
AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses
xCos: An Explainable Cosine Metric for Face Verification Task
Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024
Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning
Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition
Circumventing Concept Erasure Methods For Text-to-Image Generative Models
Fusion-based Few-Shot Morphing Attack Detection and Fingerprinting
Real-time Convolutional Neural Networks for Emotion and Gender Classification
Deepfake Detection using Spatiotemporal Convolutional Networks
Suppress and Rebalance: Towards Generalized Multi-Modal Face Anti-Spoofing
Automatic Recognition of Student Engagement using Deep Learning and Facial Expression
FaceForensics++: Learning to Detect Manipulated Facial Images
BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation
MM2Latent: Text-to-facial image generation and editing in GANs with multimodal assistance
On the Exploitation of DCT-Traces in the Generative-AI Domain
FaceScore: Benchmarking and Enhancing Face Quality in Human Generation
Subject-Based Domain Adaptation for Facial Expression Recognition
SynthDistill: Face Recognition with Knowledge Distillation from Synthetic Data
FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and Countering Deepfakes
The FaceChannel: A Light-weight Deep Neural Network for Facial Expression Recognition
Darker than Black-Box: Face Reconstruction from Similarity Queries
Enhancing Facial Privacy Protection via Weakening Diffusion Purification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.