🤖 A framework for building AI Agents with LLMs, integrating multimodal generative AI technologies including voice, images, videos, and digital humans 🌈💎✨
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Updated
Jul 31, 2023
🤖 A framework for building AI Agents with LLMs, integrating multimodal generative AI technologies including voice, images, videos, and digital humans 🌈💎✨
DEMO演示过程:语音录制 -> 音频转文本 -> GPT回复 -> 回复文本转音频 -> 数字人生成 https://digital-person.vercel.app/
Implementation of "VS: Reconstructing Clothed 3D Human from Single Image via Vertex Shift"
OpenHuman.AI - Open Digital Human Assistant
Real-time 2D digital human Framework
Zippy Talking Avatar uses Azure Cognitive Services and OpenAI API to generate text and speech. It is built with Next.js and Tailwind CSS. This avatar responds to user input by generating both text and speech, offering a dynamic and immersive user experience
全面系统的3D AIGC学习路线图
Collections of papers, databases, and codes targeted at Digital Human
Official Repo for National Industrial Software Congress 2023:"An Implementation of Multimodal Fusion System for Intelligent Digital Human Generation"
Official implementation for GP-NeRF (ECCV 2022)
Official implementation for 'Wild2Avatar: Rendering Humans Behind Occlusions'
⭐ Building the dynamic digital human by only using a mobile phone!
📖 A curated list of resources dedicated to avatar.
Generalizing Neural Human Fitting to Unseen Poses With Articulated SE(3) Equivariance (ICCV2023)
Didimo creates incredible high-fidelity digital humans. Simple, fast, high-quality user-generated avatars to integrate into business, apps, and experiences.
This project is a digital human that can talk and listen to you. It uses OpenAI's GPT-3 to generate responses, OpenAI's Whisper to transcript the audio, Eleven Labs to generate voice and Rhubarb Lip Sync to generate the lip sync.
The official implementation of "Human101: Training 100+FPS Human Gaussians in 100s from 1 View".
[CVPR 2024 Highlight] Official repository for paper "SIFU: Side-view Conditioned Implicit Function for Real-world Usable Clothed Human Reconstruction"
[CVPR 2023] Code for "Learning Neural Volumetric Representations of Dynamic Humans in Minutes"
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