FangSen9000

Flowise

Drag & drop UI to build your customized LLM flow

mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

AnimateAnyone

Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation

freemocap

Free Motion Capture for Everyone 💀✨

UniAD

[CVPR 2023 Best Paper] Planning-oriented Autonomous Driving

Moore-AnimateAnyone

Character Animation (AnimateAnyone, Face Reenactment)

Open-AnimateAnyone

Unofficial Implementation of Animate Anyone

minimal

Minimal is a Jekyll theme for GitHub Pages

MotionGPT

[NeurIPS 2023] MotionGPT: Human Motion as a Foreign Language, a unified motion-language generation model using LLMs

SMPLer-X

Official Code for "SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation"

MocapNET

We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance

tdw

ThreeDWorld simulation environment

translate

Effortless Real-Time Sign Language Translation

DatasetDM

[NeurIPS2023] DatasetDM:Synthesizing Data with Perception Annotations Using Diffusion Models

world-models

Extracting spatial and temporal world models from LLMs

depRL

Repository for our ICLR 2023 paper: DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems

UniHSI

[ICLR 2024 Spotlight] Unified Human-Scene Interaction via Prompted Chain-of-Contacts

UniMoCap

[Open-source Project] UniMoCap: community implementation to unify the text-motion datasets (HumanML3D, KIT-ML, and BABEL) and whole-body motion dataset (Motion-X).

word-embeddings-for-nmt

Supplementary material for "When and Why Are Pre-trained Word Embeddings Useful for Neural Machine Translation?" at NAACL 2018

sign-language-processing.github.io

Documentation and background of sign language processing

datasets

TFDS data loaders for sign language datasets.

transcription

Text to pose model for sign language pose generation from a text sequence

slt_how2sign_wicv2023

Sign Language Translation for Instructional Videos - CVPR WiCV 2023

Sign-Language-Translator

Sign Language Translator enables the hearing impaired user to communicate efficiently in sign language, and the application will translate the same into text/speech. The user has to train the model, by recording its own sign language gestures. Internally it uses MobileNet and KNN classifier to classify the gestures.

2D-Keypoints-based-Pose-Classifier

MMD_3D_POSE_Converter

Convert 3D Human Pose to VMD file

jiyanggao.github.io

Minimal is a Jekyll theme for GitHub Pages

pose-pipelines

Pipelines to process (crop, mask, and estimate poses) sign language videos like the way described in WMT-SLT 22

lsedataset

Spanish Sign Language dataset

yanjunhan2021.github.io