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EchoMimicV2: Towards Striking, Simplified, and Semi-Body Human Animation
EchoMimic: Lifelike Audio-Driven Portrait Animations through Editable Landmark Conditioning
虎牙，斗鱼，抖音，BiliBili，TikTok，Twitch🔥热门🔥智能直播视频剪辑发布AI机器人，自动化🤖，全智能化⚙（智能生成切片，标题，封面，简介），可视化👓，平台热门监控🌡，丰富插件随意扩展🕹，快速部署⚡，视频账号打造自动发布🌟，支持DIY🎮
MuseV: Infinite-length and High Fidelity Virtual Human Video Generation with Visual Conditioned Parallel Denoising
AniPortrait: Audio-Driven Synthesis of Photorealistic Portrait Animation
ComfyUI adaptation of IDM-VTON for virtual try-on.
DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos
Nodes related to video workflows
Enhancements & experiments for ComfyUI, mostly focusing on UI features
A collection of ComfyUI custom nodes.
Based on GroundingDino and SAM, use semantic strings to segment any element in an image. The comfyui version of sd-webui-segment-anything.
ComfyUI's ControlNet Auxiliary Preprocessors
[CVPR2024] StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On
A visualization tool for single-lead ECG signal and annotation. 一款单导联心电图信号及分割分类标签可视化工具
A Survey on CLIP in Medical Imaging
Build a esp32 ROS foxy robot(diff ackermann tank) step by step.
Developing Generalist Foundation Models from a Multimodal Dataset for 3D Computed Tomography
Making large AI models cheaper, faster and more accessible
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Hipsterize your cat with deep learning. Put glasses on!
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
LEARNING A REPRESENTATION FOR COVER SONG IDENTIFICATION USING CONVOLUTIONAL NEURAL NETWORK. ICASSP2020
SEU Bachelor Thesis Project of a auto-diagnosis system for fundus diseases based on deep learning
Code for "Evaluation of Robustness of Disc/Cup Segmentation in Different Fundus Imaging Conditions"
This is an official implementation of 'A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images'