State-of-the-art 2D and 3D Face Analysis Project
- face-recognition
- face-detection
- mxnet
- face-alignment
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State-of-the-art 2D and 3D Face Analysis Project
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.
:fire: 2D and 3D Face alignment library build using pytorch
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)
The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
[NeurIPS 2024] Official code for PuLID: Pure and Lightning ID Customization via Contrastive Alignment
【EMNLP 2024🔥】Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks
Unsupervised Learning for Image Registration
DECA: Detailed Expression Capture and Animation (SIGGRAPH 2021)
TengineKit - Free, Fast, Easy, Real-Time Face Detection & Face Landmarks & Face Attributes & Hand Detection & Hand Landmarks & Body Detection & Body Landmarks & Iris Landmarks & Yolov5 SDK On Mobile.
A Unified Face Analysis Library for Python
RetinaFace: Deep Face Detection Library for Python
[ICLR'25 Oral] Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Deep Learning Based Free Mobile Real-Time Face Landmark Detector. Contact:[email protected]
An open ecosystem of parametric human models and perception stacks, starting with GNM Head.
Generation of protein sequences and evolutionary alignments via discrete diffusion models
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks
Evidence-aware Japanese speech visualization: pitch and intonation, waveform inspection, and experimental alignment.
ReAlign models instantly, on demand. Per-request alignment for verified users and channels, or Always On. Use directly or with Hermes, OpenClaw and custom harnesses.
A TensorFlow implementation of the Mnemonic Descent Method.
Alignment functions for corpus linguistics