thanhtin1997's repositories
google-research
Google Research
2D-Motion-Retargeting
PyTorch implementation for our paper Learning Character-Agnostic Motion for Motion Retargeting in 2D, SIGGRAPH 2019
3Dpose_ssl
3D Human Pose Machines with Self-supervised Learning
awesome-human-pose-estimation
Human Pose Estimation Related Publication
bert-extractive-summarizer-vietnamese
Bert extractive summarizer for vietnam's document
BodyScanner
A program for making a 3D model of a body using Microsoft Kinect
Deep-Flow-Guided-Video-Inpainting
pytorch implementation for "Deep Flow-Guided Video Inpainting"(CVPR'19)
DeepDepthDenoising
This repo includes the source code of the fully convolutional depth denoising model presented in https://arxiv.org/pdf/1909.01193.pdf (ICCV19)
DeepFashion2
DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf
dodo_detector_ros
Object detection from images/point cloud using ROS
ElasticFusion
Real-time dense visual SLAM system
everybody_dance_now_pytorch
A PyTorch Implementation of "Everybody Dance Now" from Berkeley AI lab.
Human-Pose-Transfer
Implement Human Pose Transfer papers with Pytorch
Infinite-Adventure
My own take on something like AI Dungeon.
Mini-3D-Scanner
A pipeline for online 3D reconstruction of objects only using visual data from RGB-D camera (Kinect V2).
Person_reID_baseline_pytorch
A tiny, friendly, strong pytorch implement of person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
Pose-Transfer
Code for the paper Progressive Pose Attention for Person Image Generation in CVPR19 (Oral).
SelecSLS-Pytorch
Reference ImageNet implementation of SelecSLS CNN architecture proposed in "XNect: Real-time Multi-person 3D Human Pose Estimation with a Single RGB Camera"
StereoNet
StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth prediction model in pytorch. ECCV2018
surfelwarp
SurfelWarp: Efficient Non-Volumetric Dynamic Reconstruction
Trending-in-3D-Vision
An on-going paper list on new trends in 3D vision with deep learning