https://github.com/ymx2022/3dfacetexture
공식 코드Self-supervised Re-renderable Facial Albedo Reconstruction from Single Image
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Facial tasks in machine learning operate based on images or video frames (or other datasets) focussed on human faces.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Self-supervised Re-renderable Facial Albedo Reconstruction from Single Image
Vision Transformer with Attentive Pooling for Robust Facial Expression Recognition
VidFace: A Full-Transformer Solver for Video FaceHallucination with Unaligned Tiny Snapshots
Efficient Emotional Adaptation for Audio-Driven Talking-Head Generation
Multi-scale Promoted Self-adjusting Correlation Learning for Facial Action Unit Detection
AUFormer: Vision Transformers are Parameter-Efficient Facial Action Unit Detectors
MassFace: an efficient implementation using triplet loss for face recognition
Learning Metrics from Teachers: Compact Networks for Image Embedding
Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning
Only a Matter of Style: Age Transformation Using a Style-Based Regression Model
Modeling the Temporal Nature of Human Behavior for Demographics Prediction
Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection
UR Channel-Robust Synthetic Speech Detection System for ASVspoof 2021
Unrecognizable Yet Identifiable: Image Distortion with Preserved Embeddings
Leveraging Diffusion For Strong and High Quality Face Morphing Attacks
Greedy-DiM: Greedy Algorithms for Unreasonably Effective Face Morphs
POSTER: A Pyramid Cross-Fusion Transformer Network for Facial Expression Recognition
Enhancing Zero-Shot Facial Expression Recognition by LLM Knowledge Transfer
GPT-4V with Emotion: A Zero-shot Benchmark for Generalized Emotion Recognition
Deep Convolutional Neural Network Based Facial Expression Recognition in the Wild
LEAF: Unveiling Two Sides of the Same Coin in Semi-supervised Facial Expression Recognition
FACIAL: Synthesizing Dynamic Talking Face with Implicit Attribute Learning
FaceAtlasAR: Atlas of Facial Acupuncture Points in Augmented Reality
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.