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Facial Recognition and Modelling

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하위 태스크: 26
평가표: 0
보존된 평가 기록: 0

Facial tasks in machine learning operate based on images or video frames (or other datasets) focussed on human faces.

코드

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

https://github.com/aimagelab/COCOFake

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Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images

https://github.com/aimagelab/code

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Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local Similarities

https://github.com/aimultimedialab/favci2d-face-verification-with-challenging-imposters-and-diversified-demographics

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Face Verification with Challenging Imposters and Diversified Demographics

https://github.com/ajev-research/agg-layers-deepfake-detection

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Aggregating Layers for Deepfake Detection

https://github.com/albertpumarola/GANimation

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GANimation: Anatomically-aware Facial Animation from a Single Image

https://github.com/ali-vilab/dreamtalk

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DreamTalk: When Emotional Talking Head Generation Meets Diffusion Probabilistic Models

https://github.com/alibaba-miil/headsharingkd

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It's All in the Head: Representation Knowledge Distillation through Classifier Sharing

https://github.com/alinlab/BAR

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Learning from Failure: Training Debiased Classifier from Biased Classifier

https://github.com/aliprf/ASMNet

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ASMNet: a Lightweight Deep Neural Network for Face Alignment and Pose Estimation

https://github.com/aliprf/acr-loss

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ACR Loss: Adaptive Coordinate-based Regression Loss for Face Alignment

https://github.com/aliprf/ganalyzer

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GANalyzer: Analysis and Manipulation of GANs Latent Space for Controllable Face Synthesis

https://github.com/aliprf/kd-loss

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Facial Landmark Points Detection Using Knowledge Distillation-Based Neural Networks

https://github.com/alldbi/FLM

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Fast Geometrically-Perturbed Adversarial Faces

https://github.com/alonzolfi/adversarialmask

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Adversarial Mask: Real-World Universal Adversarial Attack on Face Recognition Model

https://github.com/altndrr/clup

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Cluster-level pseudo-labelling for source-free cross-domain facial expression recognition

https://github.com/amazon-research/gendered-profession-translations

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Faithful Target Attribute Prediction in Neural Machine Translation

https://github.com/amilkh/cs230-fer

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Facial Expression Recognition with Deep Learning

https://github.com/aminesi/robustness-on-device

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Robustness Analysis of Deep Learning Frameworks on Mobile Platforms

https://github.com/amoonfana/fastface

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FastFace: Fast-converging Scheduler for Large-scale Face Recognition Training with One GPU

https://github.com/andrekassis/DiffBreak

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DiffBreak: Is Diffusion-Based Purification Robust?

https://github.com/andrekassis/ai-watermark

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UnMarker: A Universal Attack on Defensive Image Watermarking

https://github.com/andresprados/spiga

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Shape Preserving Facial Landmarks with Graph Attention Networks

https://github.com/angelomenezes/Pytorch_Face_SR

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Analysis and evaluation of Deep Learning based Super-Resolution algorithms to improve performance in Low-Resolution Face Recognition

https://github.com/anger-man/unsupervised-depth-estimation

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Unsupervised Single-shot Depth Estimation using Perceptual Reconstruction

https://github.com/anguyen8/deepface-emd

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DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover's Distance Improves Out-Of-Distribution Face Identification

https://github.com/anguyen8/face-vit

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Fast and Interpretable Face Identification for Out-Of-Distribution Data Using Vision Transformers

https://github.com/anhttran/extreme_3d_faces

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Extreme 3D Face Reconstruction: Seeing Through Occlusions

https://github.com/anjith2006/bob.paper.cross_modal_focal_loss_cvpr2021

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Cross Modal Focal Loss for RGBD Face Anti-Spoofing

https://github.com/anjith2006/bob.paper.deep_pix_bis_pad.icb2019

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Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection

https://github.com/anjith2006/bob.paper.ijcb2021_vision_transformer_pad

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On the Effectiveness of Vision Transformers for Zero-shot Face Anti-Spoofing

https://github.com/anmol2059/svdd2024

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Speech Foundation Model Ensembles for the Controlled Singing Voice Deepfake Detection (CtrSVDD) Challenge 2024

https://github.com/anonrep/iba-for-video-sequences

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Extending Information Bottleneck Attribution to Video Sequences

https://github.com/anonymous-author-sub/seeable

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SeeABLE: Soft Discrepancies and Bounded Contrastive Learning for Exposing Deepfakes

https://github.com/anonymoususera/ava

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AVA: Inconspicuous Attribute Variation-based Adversarial Attack bypassing DeepFake Detection

https://github.com/antonibigata/Laughing-Matters

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Laughing Matters: Introducing Laughing-Face Generation using Diffusion Models

https://github.com/anubhav1997/youneednodataset

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A Dataless FaceSwap Detection Approach Using Synthetic Images

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