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| https://qingkelab.github.io/talks/ |
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|  | ||
| ### [青稞](https://qingkelab.github.io)·[知识社区](https://qingkelab.github.io/talks)直播分享 | ||
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| | 直播时间 | 主讲人 | 主题 | 成果链接 | 直播/回放观看链接 | | ||
| | :--------: | :---------------------------------------------------------------------------------------------------------------------------------------: | :------------------------------------: | :---------------------------------------------------------------------------------------: | :--------------------------------------------------------------------: | | ||
| | 2024.07.30 | 香港科技大学（广州）人工智能方向博士研究生杨帅 | SEED-Story：生成长篇图文故事的多模态大型语言模型 | [arXiv](https://arxiv.org/abs/2407.08683)[Code](https://github.com/TencentARC/SEED-Story) | [https://hcqnc.xetlk.com/sl/3xzywr](https://hcqnc.xetlk.com/sl/3xzywr) | | ||
| | 2024.07.23 | 华中科技大学博士生程天恒 | YOLO-World：基于视觉语言模型的实时开放词汇物体检测 | [arXiv](https://arxiv.org/abs/2401.17270)[Code](https://github.com/AILab-CVC/YOLO-World) | [https://hcqnc.xetlk.com/sl/12dD2S](https://hcqnc.xetlk.com/sl/12dD2S) | | ||
| | 2024.07.15 | 清华大学自然语言处理实验室博士生余天予 | MiniCPM-V：端侧可用的 GPT-4V 级多模态大模型 | | [https://hcqnc.xetlk.com/sl/30sK4y](https://hcqnc.xetlk.com/sl/30sK4y) | | ||
| | 2024.07.11 | 阿里通义实验室高级算法专家徐海洋 | Mobile-Agent：基于多模态Agent架构的手机智能体 | | https://hcqnc.xetlk.com/sl/34N5vR | | ||
| | 2024.07.08 | 北京航空航天大学博士生郑耀威 | LLaMA Factory：从预训练到RLHF，大模型高效训练框架 | | https://hcqnc.xetlk.com/sl/4xFmvV | | ||
| | 2024.06.27 | 浙江大学硕士研究生董玉博 | VillagerAgent：减少幻觉、提高任务分解效率的多智能协作体框架 | | [https://hcqnc.xetlk.com/sl/4z6PWd](https://hcqnc.xetlk.com/sl/4z6PWd) | | ||
| | 2024.06.17 | 香港大学MMLAB在读博士吴成岳 | LLaMA Pro：扩展Transformer块优化的大型语言模型继续预训练 | | https://hcqnc.xetlk.com/sl/XKqHx | | ||
| | 2024.06.13 | 北京大学在读博士孟繁续 | PiSSA：收敛快、误差小的大模型参数高效微调方法 | | https://hcqnc.xetlk.com/sl/1HYPXz | | ||
| | 2024.06.06 | 上海人工智能实验室青年研究员、OpenDriveLab具身智能方向负责人曾嘉博士 | 具身多模态大模型的视觉表征预训练研究 | | https://hcqnc.xetlk.com/sl/2k4HMq | | ||
| | 2024.05.29 | 南洋理工大学 MMLab 实验室在读博士姜瑜铭 | VideoBooth：文本和图像提示共同驱动的视频生成 | | [https://hcqnc.xetlk.com/sl/1ogzQ4](https://hcqnc.xetlk.com/sl/1ogzQ4) | | ||
| | 2024.05.24 | 新加坡国立大学Research Fellow倪瑾杰 | Alchemy：混合评测数据集来拟合大语言模型的人类评估 | | [https://hcqnc.xetlk.com/sl/gFc4](https://hcqnc.xetlk.com/sl/gFc4) | | ||
| | 2024.05.21 | 华南理工大学集合感知与智能实验室博士梁智灏 | 实时渲染 3DGS 中的反走样及逆渲染应用 | | [https://hcqnc.xetlk.com/sl/3qpJ8a](https://hcqnc.xetlk.com/sl/3qpJ8a) | | ||
| | 2024.05.10 | 3D-VLA第一作者甄昊宇 | 3D-VLA：构建生成式三维具身世界模型 | | https://hcqnc.xetlk.com/sl/3axJCI | | ||
| | 2024.04.24 | 香港中文大学在读博士李彦玮 | Mini-Gemini：挖掘多模态视觉语言大模型的潜力 | | https://hcqnc.xetlk.com/sl/4aYFHd | | ||
| | 2024.04.19 | 加州大学洛杉矶分校在读博士洪逸宁 | 从 3D LLM 到 MultiPLY ，3D 具身基础模型的构建 | | https://hcqnc.xetlk.com/sl/28OAx8 | | ||
| | 2024.04.15 | 清华大学自然语言处理实验室（THUNLP）博士后钱忱 | ChatDev——大语言模型驱动的多智能体协作与演化 | | https://hcqnc.xetlk.com/sl/dsPB6 | | ||
| | 2024.04.10 | 慕尼黑工业大学视觉计算实验室博士陈振宇 | SceneTex：高质量三维室内场景纹理图生成 | | https://hcqnc.xetlk.com/sl/FD3Yf | | ||
| | 2024.03.02 | DeepFaceLab(累计60,000 +⭐️)作者小黑兔<br />InstantID(huggingface space周榜第一)作者王浩帆<br />剑桥大学计算机系在读博士Andi Zhang<br />VBench 第一作者、南洋理工大学MMLab在读博士黄子琪 | Sora迷思，AIGC的微积分时刻? | | https://hcqnc.xetlk.com/sl/3aRykI | | ||
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| <details> | ||
| <summary>💬 合作分享</summary> | ||
| <img align="left" alt="img" src="https://wangguo.site/about/wechat.jpg" width="20%" height="auto" /> | ||
| </details> | ||
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| <title>青稞·Sora迷思，AIGC的微积分时刻｜Panel 01 | 知识社区</title> | ||
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| <a href="https://qingkelab.github.io" style="padding-left: 10px;">青稞</a>· | ||
| <a href="https://qingkelab.github.io/talks" style="padding-right: 25px;">知识社区</a> | ||
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| <li><a href="https://qingkelab.github.io/talks/categories/panel/">Panel</a></li> | ||
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| <li><a href="https://appodzjvyp51702.h5.xiaoeknow.com" target="_blank">H5店铺</a></li> | ||
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| <li><a href="https://e1r5m17x3ld.feishu.cn/base/IkJubBfuAa6TETsUx0FcFaqOncc?from=from_copylink" target="_blank">直播日历</a></li> | ||
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| <li><a href="https://github.com/qingkelab/talks" target="_blank" rel="noopener noreferrer"><i class="fab fa-github" aria-hidden="true"></i> Star</a ></li> | ||
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| <li class="item"><a href="https://qingkelab.github.io/talks/tags/3dgs/">3DGS</a></li> | ||
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| <li class="item"><a href="https://qingkelab.github.io/talks/tags/3dsheng-cheng/">3D生成</a></li> | ||
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| <li class="item"><a href="https://qingkelab.github.io/talks/tags/ai-agent/">AI Agent</a></li> | ||
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| <li class="item"><a href="https://qingkelab.github.io/talks/tags/aigc/">AIGC</a></li> | ||
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| <li class="item"><a href="https://qingkelab.github.io/talks/tags/can-shu-wei-diao/">参数微调</a></li> | ||
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| <li class="item"><a href="https://qingkelab.github.io/talks/tags/da-mo-xing-ping-gu/">大模型评估</a></li> | ||
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| <li class="item"><a href="https://qingkelab.github.io/talks/tags/da-mo-xing-xun-lian/">大模型训练</a></li> | ||
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| <li class="item"><a href="https://qingkelab.github.io/talks/tags/duo-mo-tai-da-mo-xing/">多模态大模型</a></li> | ||
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| <li class="item"><a href="https://qingkelab.github.io/talks/tags/ju-shen-zhi-neng/">具身智能</a></li> | ||
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| <li class="item"><a href="https://qingkelab.github.io/talks/tags/llm/">LLM</a></li> | ||
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| <li class="item"><a href="https://qingkelab.github.io/talks/tags/shi-pin-sheng-cheng/">视频生成</a></li> | ||
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| <center> | ||
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| Sora迷思，AIGC的微积分时刻｜Panel 01 | ||
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| <title>青稞·SceneTex:高质量三维室内场景纹理图生成 | 知识社区</title> | ||
| <link rel="icon" href="https://qingkelab.github.io/talks/images/16x16.tiff" > | ||
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| <a href="https://qingkelab.github.io" style="padding-left: 10px;">青稞</a>· | ||
| <a href="https://qingkelab.github.io/talks" style="padding-right: 25px;">知识社区</a> | ||
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| <li><a href="https://appodzjvyp51702.h5.xiaoeknow.com" target="_blank">H5店铺</a></li> | ||
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| <li><a href="https://e1r5m17x3ld.feishu.cn/base/IkJubBfuAa6TETsUx0FcFaqOncc?from=from_copylink" target="_blank">直播日历</a></li> | ||
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| <li><a href="https://github.com/qingkelab/talks" target="_blank" rel="noopener noreferrer"><i class="fab fa-github" aria-hidden="true"></i> Star</a ></li> | ||
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| <li class="item"><a href="https://qingkelab.github.io/talks/tags/3dsheng-cheng/">3D生成</a></li> | ||
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| <li class="item"><a href="https://qingkelab.github.io/talks/tags/ai-agent/">AI Agent</a></li> | ||
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| <li class="item"><a href="https://qingkelab.github.io/talks/tags/aigc/">AIGC</a></li> | ||
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| <li class="item"><a href="https://qingkelab.github.io/talks/tags/can-shu-wei-diao/">参数微调</a></li> | ||
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| <li class="item"><a href="https://qingkelab.github.io/talks/tags/da-mo-xing-ping-gu/">大模型评估</a></li> | ||
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| <li class="item"><a href="https://qingkelab.github.io/talks/tags/da-mo-xing-xun-lian/">大模型训练</a></li> | ||
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| <li class="item"><a href="https://qingkelab.github.io/talks/tags/duo-mo-tai-da-mo-xing/">多模态大模型</a></li> | ||
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| <li class="item"><a href="https://qingkelab.github.io/talks/tags/ju-shen-zhi-neng/">具身智能</a></li> | ||
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| <li class="item"><a href="https://qingkelab.github.io/talks/tags/llm/">LLM</a></li> | ||
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