MeasureIt_ARCH is an addon for Blender, that adds tools to create design documentation and technical drawings that can be previewed within Blender's 3D viewport, and exported as images, vector grap…

OpenXRLab Multi-view Motion Capture Toolbox and Benchmark

ECCV2022-Real-Time Intermediate Flow Estimation for Video Frame Interpolation

Tools to load, process and visualize motion capture data

Prompt-aligned Gradient for Prompt Tuning

Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecul…

Main repository for Vispy

Multi-Person 3D Motion Prediction with Multi-Range Transformers. In NeurIPS2021

a reimplementation of PWC-Net in PyTorch that matches the official Caffe version

[AAAI 2022 Oral] This is a Pytorch implementation of the AAAI 2022 paper "Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification"

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

[SuperGlue: Learning Feature Matching with Graph Neural Networks] This repo includes PyTorch code for training the SuperGlue matching network on top of SIFT keypoints and descriptors.

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Code for the paper "Jukebox: A Generative Model for Music"

Official Pytorch implementation of 'GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network' (NeurIPS 2020)

Code for Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation (CVPR 2021)

The personal repository of the work: *DanceNet3D: Music Based Dance Generation with Parametric Motion Transformer*.

Implementation of "Quadratic video interpolation", NeurIPS 2019.

Dance Revolution: Long-Term Dance Generation with Music via Curriculum Learning

Extracts human motion in video and save it as bvh mocap file.

Position-aware Graph Neural Networks