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Emu

Emu Series: Generative Multimodal Models from BAAI

ModelsVision modelsPython
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创建于 2023-07-11 · 更新于 2026-10-05 · 今日第 9510 名
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yqy2001Quan-Sunryanzhangfan

baaivision/Emu 排名第 9,510，有 1,777 个星标。

同类别比较

baaivision/Emu 排名第 9,510，此处有 8 个同类条目；OpenCodeInterpreter/OpenCodeInterpreter 排名第 9,521。

同类别比较
名称排名指标
zai-org/CogView9,465
语言:
Python
星标数:
1,801
分叉数:
175
简介:
Text-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".
Standard-Intelligence/hertz-dev9,466
语言:
Python
星标数:
1,800
分叉数:
115
简介:
first base model for full-duplex conversational audio
NVlabs/few-shot-vid2vid9,471
语言:
Python
星标数:
1,795
分叉数:
274
简介:
Pytorch implementation for few-shot photorealistic video-to-video translation.
ali-vilab/dreamtalk9,485
语言:
Python
星标数:
1,788
分叉数:
218
简介:
Official implementations for paper: DreamTalk: When Expressive Talking Head Generation Meets Diffusion Probabilistic Models
OpenCodeInterpreter/OpenCodeInterpreter9,521
语言:
Python
星标数:
1,771
分叉数:
223
简介:
OpenCodeInterpreter is a suite of open-source code generation systems aimed at bridging the gap between large language models and sophisticated proprietary systems like the GPT-4 Code Interpreter. It significantly enhances code generation capabilities by integrating execution and iterative refinement functionalities.
huggingface/transfer-learning-conv-ai9,542
语言:
Python
星标数:
1,757
分叉数:
428
简介:
🦄 State-of-the-Art Conversational AI with Transfer Learning
salesforce/ALBEF9,550
语言:
Python
星标数:
1,753
分叉数:
222
简介:
Code for ALBEF: a new vision-language pre-training method
TencentARC/BrushNet9,563
语言:
Python
星标数:
1,746
分叉数:
146
简介:
[ECCV 2024] The official implementation of paper "BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion"
关键参数与规格
关键参数与规格
参数值
语言Python
类别Models
子类别Vision models
星标数1,777
分叉数82
贡献者7
创建日期2023-07-11
更新日期2026-10-05
1 天星标数0
7 天星标数0
排名9,510
上次排名9,550
排名变化40
7 天星标排名12,322
上次 7 天星标排名12,372
7 天星标排名变化50
总星标排名7,020
上次总星标排名7,014
总星标排名变化-6
国家China
README 摘录

9 We introduce **Emu3**, a new suite of state-of-the-art multimodal models trained solely with next-token prediction. 2 **Emu1 and Emu2 are accepted by ICLR 2024 and CVPR 2024 respectively! 12 Inference code, model and demo of Emu2 are available. 12 We have released Emu2, open and largest generative multimodal models that achieve new state of the art on multimodal understanding and generation tasks. 7 Inference code and model of Emu are available. 7 We have released

Emu, a multimodal generalist that can seamlessly generate images and texts in multimodal context. Hightlights State-of-the-art performance Next-generation capabilities A base model for diverse tasks We hope to foster the growth of our community through open-sourcing and promoting collaboration👬. Let's step towards multimodal intelligence together🍻. Contact **We are hiring** at all levels at BAAI Vision Team, including full-time researchers, engineers and interns. If you are interested in working with us on **foundation model, visual

perception and multimodal learning**, please contact Xinlong Wang ( ).

常见问题

记录了多少星标和分叉？

baaivision/Emu 有 1,777 个星标和 82 个分叉。

仓库排名是多少？

baaivision/Emu 排名第 9,510。

记录的语言和类别是什么？

baaivision/Emu 有 1,777 个星标，语言为 Python，类别为 Models。

哪个仓库排名最接近？

baaivision/Emu 与 OpenCodeInterpreter/OpenCodeInterpreter 比较，后者排名第 9,521，有 1,771 个星标。

README

Emu: Generative Multimodal Models from BAAI

  • Emu1 (ICLR 2024, 2023/07) - Generative Pretraining in Multimodality

  • Emu2 (CVPR 2024, 2023/12) - Generative Multimodal Models are In-Context Learners

  • Emu3 (arXiv 2024, 2024/09) - Next-Token Prediction is All You Need 🔥🔥🔥

News

  • 2024.9 We introduce Emu3, a new suite of state-of-the-art multimodal models trained solely with next-token prediction. 🔥🔥🔥
  • 2024.2 Emu1 and Emu2 are accepted by ICLR 2024 and CVPR 2024 respectively! 🎉
  • 2023.12 Inference code, model and demo of Emu2 are available. Enjoy the demo.
  • 2023.12 We have released Emu2, open and largest generative multimodal models that achieve new state of the art on multimodal understanding and generation tasks.
  • 2023.7 Inference code and model of Emu are available.
  • 2023.7 We have released Emu, a multimodal generalist that can seamlessly generate images and texts in multimodal context.

Hightlights

  • State-of-the-art performance
  • Next-generation capabilities
  • A base model for diverse tasks

We hope to foster the growth of our community through open-sourcing and promoting collaboration👬. Let's step towards multimodal intelligence together🍻.

Contact

  • We are hiring at all levels at BAAI Vision Team, including full-time researchers, engineers and interns. If you are interested in working with us on foundation model, visual perception and multimodal learning, please contact Xinlong Wang (wangxinlong@baai.ac.cn).

Misc

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