Papers with Code 아카이브
Facial Recognition and Modelling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 25
- 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/viebboy/MultilinearCompressiveLearningFramework
공식 코드https://github.com/viebboy/SIPL
공식 코드https://github.com/vigor-jzhang/dysphonic-emb
공식 코드Robust Vocal Quality Feature Embeddings for Dysphonic Voice Detection
https://github.com/vineetkumarrakesh/thg
공식 코드https://github.com/vis-opt-group/sci
공식 코드Toward Fast, Flexible, and Robust Low-Light Image Enhancement
https://github.com/vishal3477/Reverse_Engineering_GMs
공식 코드Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images
https://github.com/visionjo/facerec-bias-bfw
공식 코드https://github.com/visteam-isr-uc/ylfw
공식 코드Young Labeled Faces in the Wild (YLFW): A Dataset for Children Faces Recognition
https://github.com/visym/keynet
공식 코드Key-Nets: Optical Transformation Convolutional Networks for Privacy Preserving Vision Sensors
https://github.com/vitoralbiero/afd_dataset_cleaned
공식 코드https://github.com/vitoralbiero/gender_balance_training_data
공식 코드How Does Gender Balance In Training Data Affect Face Recognition Accuracy?
https://github.com/vitoralbiero/img2pose
공식 코드img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation
https://github.com/vitoralbiero/vggface2_test_cleaned
공식 코드https://github.com/vladhondru25/exddv
공식 코드ExDDV: A New Dataset for Explainable Deepfake Detection in Video
https://github.com/vprlab/iexam
공식 코드iExam: A Novel Online Exam Monitoring and Analysis System Based on Face Detection and Recognition
https://github.com/vpsg-research/waveguard
공식 코드https://github.com/vrkh1996/IPU-Net
공식 코드https://github.com/vsingh-group/LCODEC-deep-unlearning
공식 코드Deep Unlearning via Randomized Conditionally Independent Hessians
https://github.com/vuvko/fitw2020
공식 코드Achieving Better Kinship Recognition Through Better Baseline
https://github.com/vvictoryuki/freedom
공식 코드FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model
https://github.com/wagner-niklas/cage_expression_inference
공식 코드https://github.com/wang-zidu/3ddfa-v3
공식 코드3D Face Reconstruction with the Geometric Guidance of Facial Part Segmentation
https://github.com/wang-zidu/s2td-face
공식 코드S2TD-Face: Reconstruct a Detailed 3D Face with Controllable Texture from a Single Sketch
https://github.com/wangjk666/M2TR-Multi-modal-Multi-scale-Transformers-for-Deepfake-Detection
공식 코드M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection
https://github.com/wangsuzhen/Audio2Head
공식 코드Audio2Head: Audio-driven One-shot Talking-head Generation with Natural Head Motion
https://github.com/wangty1/DCPT
공식 코드Deep Convolutional Pooling Transformer for Deepfake Detection
https://github.com/wangty1/LampMark
공식 코드LampMark: Proactive Deepfake Detection via Training-Free Landmark Perceptual Watermarks
https://github.com/wangxuan2401/3dfacerecon
공식 코드https://github.com/wangyanckxx/surveyfer
공식 코드A Survey on Facial Expression Recognition of Static and Dynamic Emotions
https://github.com/wangzhifengharrison/htnet
공식 코드https://github.com/wasim004/FAME
공식 코드FAME: A Lightweight Spatio-Temporal Network for Model Attribution of Face-Swap Deepfakes
https://github.com/wbteng9526/mtut_fr
공식 코드https://github.com/weiguangzhao/df_mvr
공식 코드From 2D Images to 3D Model:Weakly Supervised Multi-View Face Reconstruction with Deep Fusion
https://github.com/weihaox/TediGAN
공식 코드TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
https://github.com/weimengting/magicportrait
공식 코드MagicPortrait: Temporally Consistent Face Reenactment with 3D Geometric Guidance
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.