Papers with Code 아카이브
Facial Recognition and Modelling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/albertpumarola/GANimation
공식 코드GANimation: Anatomically-aware Facial Animation from a Single Image
https://github.com/ali-vilab/dreamtalk
공식 코드DreamTalk: When Emotional Talking Head Generation Meets Diffusion Probabilistic Models
https://github.com/alibaba-miil/headsharingkd
공식 코드It's All in the Head: Representation Knowledge Distillation through Classifier Sharing
https://github.com/alinlab/BAR
공식 코드Learning from Failure: Training Debiased Classifier from Biased Classifier
https://github.com/aliprf/ASMNet
공식 코드ASMNet: a Lightweight Deep Neural Network for Face Alignment and Pose Estimation
https://github.com/aliprf/acr-loss
공식 코드ACR Loss: Adaptive Coordinate-based Regression Loss for Face Alignment
https://github.com/aliprf/ganalyzer
공식 코드GANalyzer: Analysis and Manipulation of GANs Latent Space for Controllable Face Synthesis
https://github.com/aliprf/kd-loss
공식 코드Facial Landmark Points Detection Using Knowledge Distillation-Based Neural Networks
https://github.com/alldbi/FLM
공식 코드https://github.com/alonzolfi/adversarialmask
공식 코드Adversarial Mask: Real-World Universal Adversarial Attack on Face Recognition Model
https://github.com/altndrr/clup
공식 코드Cluster-level pseudo-labelling for source-free cross-domain facial expression recognition
https://github.com/amazon-research/gendered-profession-translations
공식 코드Faithful Target Attribute Prediction in Neural Machine Translation
https://github.com/amilkh/cs230-fer
공식 코드https://github.com/aminesi/robustness-on-device
공식 코드Robustness Analysis of Deep Learning Frameworks on Mobile Platforms
https://github.com/amoonfana/fastface
공식 코드FastFace: Fast-converging Scheduler for Large-scale Face Recognition Training with One GPU
https://github.com/andrekassis/DiffBreak
공식 코드https://github.com/andrekassis/ai-watermark
공식 코드UnMarker: A Universal Attack on Defensive Image Watermarking
https://github.com/andresprados/spiga
공식 코드Shape Preserving Facial Landmarks with Graph Attention Networks
https://github.com/angelomenezes/Pytorch_Face_SR
공식 코드https://github.com/anger-man/unsupervised-depth-estimation
공식 코드Unsupervised Single-shot Depth Estimation using Perceptual Reconstruction
https://github.com/anguyen8/deepface-emd
공식 코드https://github.com/anguyen8/face-vit
공식 코드Fast and Interpretable Face Identification for Out-Of-Distribution Data Using Vision Transformers
https://github.com/anhttran/extreme_3d_faces
공식 코드https://github.com/anjith2006/bob.paper.cross_modal_focal_loss_cvpr2021
공식 코드https://github.com/anjith2006/bob.paper.deep_pix_bis_pad.icb2019
공식 코드Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection
https://github.com/anjith2006/bob.paper.ijcb2021_vision_transformer_pad
공식 코드On the Effectiveness of Vision Transformers for Zero-shot Face Anti-Spoofing
https://github.com/anmol2059/svdd2024
공식 코드https://github.com/anonrep/iba-for-video-sequences
공식 코드Extending Information Bottleneck Attribution to Video Sequences
https://github.com/anonymous-author-sub/seeable
공식 코드SeeABLE: Soft Discrepancies and Bounded Contrastive Learning for Exposing Deepfakes
https://github.com/anonymoususera/ava
공식 코드AVA: Inconspicuous Attribute Variation-based Adversarial Attack bypassing DeepFake Detection
https://github.com/antonibigata/Laughing-Matters
공식 코드Laughing Matters: Introducing Laughing-Face Generation using Diffusion Models
https://github.com/anubhav1997/youneednodataset
공식 코드A Dataless FaceSwap Detection Approach Using Synthetic Images
https://github.com/anuragranj/coma
공식 코드https://github.com/aosokin/cnn_head_detection
공식 코드https://github.com/apchenstu/Facial_Details_Synthesis
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.