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Sun Yat-sen University, Carnegie Mellon University
- US, Japan, China, Hong Kong
Stars
AISystem 主要是指AI系统,包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
[CVPRW 2024]Official PyTorch Implementation of "LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints"
The official rendering library for PAG (Portable Animated Graphics) files that renders After Effects animations natively across multiple platforms.
OpenMMLab's next-generation platform for general 3D object detection.
t27 / stylegan2-blending
Forked from NVlabs/stylegan2-ada-pytorchFinal Project Repository for CMU's Learning Based Image Synthesis Course. Based on StyleGAN2-ADA - Official PyTorch implementation
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
[ICLR'22] A Unified Architecture for Predicting Multiple Agent Trajectories
Deep Learning for Vision-based Prediction
The devkit of the nuScenes dataset.
Open standard for machine learning interoperability
Official GitHub repository for Argoverse dataset
A Unofficial Pytorch Implementation of TNT: Target-driveN Trajectory Prediction
TF implementation of our CVPR 2021 paper: OSTeC: One-Shot Texture Completion
GPU Accelerated Non-rigid ICP for surface registration
A repository for generating stylized talking 3D and 3D face
Blendshape and kinematics calculator for Mediapipe/Tensorflow.js Face, Eyes, Pose, and Finger tracking models.
StyleFlow: Attribute-conditioned Exploration of StyleGAN-generated Images using Conditional Continuous Normalizing Flows (ACM TOG 2021)
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019). A PyTorch implementation.
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
For trading. Please star.
MeInGame: Create a Game Character Face from a Single Portrait, AAAI 2021
yzhou359 / MakeItTalk
Forked from adobe-research/MakeItTalkChannel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)