https://github.com/fdnerf/fdnerf
공식 코드FDNeRF: Few-shot Dynamic Neural Radiance Fields for Face Reconstruction and Expression Editing
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.
FDNeRF: Few-shot Dynamic Neural Radiance Fields for Face Reconstruction and Expression Editing
Faster Than Lies: Real-time Deepfake Detection using Binary Neural Networks
Learning Landmarks Motion from Speech for Speaker-Agnostic 3D Talking Heads Generation
Towards Realistic Face Photo-Sketch Synthesis via Composition-Aided GANs
Bridging Unpaired Facial Photos And Sketches By Line-drawings
FaceDancer: Pose- and Occlusion-Aware High Fidelity Face Swapping
Visual Speech-Aware Perceptual 3D Facial Expression Reconstruction from Videos
Appearance-based gaze estimation enhanced with synthetic images using deep neural networks
Graph-based Generative Face Anonymisation with Pose Preservation
Fair and accurate age prediction using distribution aware data curation and augmentation
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding
Back-in-Time Diffusion: Unsupervised Detection of Medical Deepfakes
Expression-aware video inpainting for HMD removal in XR applications
MixFairFace: Towards Ultimate Fairness via MixFair Adapter in Face Recognition
Inverting Black-Box Face Recognition Systems via Zero-Order Optimization in Eigenface Space
StyleTalk: One-shot Talking Head Generation with Controllable Speaking Styles
A Multi-resolution Approach to Expression Recognition in the Wild
MAFER: a Multi-resolution Approach to Facial Expression Recognition
Quaternion Orthogonal Transformer for Facial Expression Recognition in the Wild
Does pre-training on brain-related tasks results in better deep-learning-based brain age biomarkers?
KFC: Kinship Verification with Fair Contrastive Loss and Multi-Task Learning
MagicEye: An Intelligent Wearable Towards Independent Living of Visually Impaired
Shallow Optical Flow Three-Stream CNN for Macro- and Micro-Expression Spotting from Long Videos
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.