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A game matching server written in golang. Matching players with score close to each other into one group.
real time face swap and one-click video deepfake with only a single image
Official implementations for paper: DreamTalk: When Expressive Talking Head Generation Meets Diffusion Probabilistic Models
fay是一个帮助数字人（2.5d、3d、移动、pc、网页）或大语言模型（openai兼容、deepseek）连通业务系统的agent框架。
Emote Portrait Alive: Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions
A tool to generate Go struct types based on data in a Mongo collection.
⭐ Web frameworks for Go, most starred on GitHub
The fastest HTTP/2 Go Web Framework. New, modern and easy to learn. Fast development with Code you control. Unbeatable cost-performance ratio 🚀
Avatars for Zoom, Skype and other video-conferencing apps.
A modern runtime for JavaScript and TypeScript.
A library to capture canvas-based animations at a fixed framerate
[ICCV 2019] Recursive Cascaded Networks for Unsupervised Medical Image Registration
Cross-platform, customizable ML solutions for live and streaming media.
A collection of some datasets for segmentation / saliency detection. Welcome to PR...:smile:
Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.
Pytorch and Torch testing code of CartoonGAN [Chen et al., CVPR18]
A library for prototyping realtime hand detection (bounding box), directly in the browser.
Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow
Recognize gestures using a simple webcam.
A python program to detect and classify hand pose using deep learning techniques
The authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations
sketch + style = paints 🎨 (TOG2018/SIGGRAPH2018ASIA)
Generating automatic trimap through pixel dilation and strongly-connected-component algorithms
This project is an unofficial implementation of AlphaGAN: Generative adversarial networks for natural image matting published at the BMVC 2018
human matting on mobile phone
Deep Image Matting implementation in PyTorch