AI

基于Transformer的图像局部特征匹配LoFTR介绍 任务 输入两张RGB图像,局部特征匹配算法将输出两张图片对应像素的位置 模型描述 本模型基于LoFTR: Detector-Free Loc
200pytorchXR
Clone with HTTP bashbash git clone https://www.modelscope.cn/Fengshenbang/Ziya-Visual-Lyrics-14B.git
390
Paraformer-large模型介绍 ModelScope-FunASR FunASR希望在语音识别方面建立学术研究和工业应用之间的桥梁。通过支持在ModelScope上发布的工业级语音识别模型的
230pytorchaudio
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140其他
Machine Mindset: An MBTI Exploration of Large Language Models If you like our project, please give
340MachineMindset
Bert-VITS2 VITS2 Backbone with multilingual bert For quick guide, please refer to webui_preprocess.p
390
EfficientSAM  Paper |  GitHub   EfficientSAM: Leveraged Masked Image Pretraining
480pytorchcv
Introduction An experimental version of IP-Adapter-FaceID: we use face ID embedding from a face reco
610text-to-image
CogAgent CogAgent is an open-source visual language model improved based on CogVLM. ? Paper: https:
430
[![Generic badge](https://img.shields.io/badge/GitHub-%20XTuner-black.svg)](https://github.com/Inter
380
Diffusion Model Alignment Using Direct Preference Optimization Direct Preference Optimization (DPO)
300
AnimateDiff This repository is the official implementation of AnimateDiff. It is a plug-and-play mod
490pytorch
[![Generic badge](https://img.shields.io/badge/GitHub-%20XTuner-black.svg)](https://github.com/Inter
270
**Non-cherry-picked** random batch by just typing two words "forest elf", without any parameter tw
350
Stable Zero123 Model Description Stable Zero123 is a model for view-conditioned image generation bas
370
Qwen-72B-Chat ? Hugging Face   |   ? ModelScope   |    ? Paper    |   ?️ Demo WeCh
380qwen
该模型当前使用的是默认介绍模版,处于“预发布”阶段,页面仅限所有者可见。 请根据模型贡献文档说明,及时完善模型卡片内容。ModelScope平台将在模型卡片完善后展示。谢谢您的理解。 Clone wi
560pytorchAlibaba
模型介绍 该模型输入要求一张RGB图像,输出结果为稠密深度图。 网络结构 模型描述 该模型基于 AdaBins: Depth Estimation using Adaptive Bins;(Refe
330pytorchAlibaba
Bert-VITS2 VITS2 Backbone with multilingual bert For quick guide, please refer to webui_preprocess.p
320
单目法向估计算法介绍 任务 输入一张单目RGB图像,单目法向估计算法将分析场景三维结构、输出图像对应的稠密法向图 模型描述 本模型基于Omnidata: A Scalable Pipeline for
390pytorchcv
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