4 个 · 多模态 · 模型 · 学术写作
OpenMMLab 多模态高级生成与智能创作工具箱。释放魔力🪄：AIGC、易用 API、丰富模型库、扩散模型，支持文生图、图像/视频修复与增强等任务OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
AI 音频数据集（AI-ADS）🎵，包含语音、音乐和音效，可为 Generative AI、AIGC、AI 模型训练、智能音频工具开发及音频应用提供训练数据。AI Audio Datasets (AI-ADS) 🎵, including Speech, Music, and Sound Effects, which can provide training data for Generative AI, AIGC, AI model training, intelligent audio tool development, and audio applications.
[CVPR2024 (Highlight)] RichDreamer：一种可泛化的法线-深度扩散模型，用于生成细节丰富的文本到 3D 内容。Live Demo：https://modelscope.cn/studios/Damo_XR_Lab/3D_AIGC[CVPR2024 (Highlight)] RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D. Live Demo：https://modelscope.cn/studios/Damo_XR_Lab/3D_AIGC
阅读网络 meta 分析的证据结构。在浏览器中拟合图论模型并以八种方式绘制：精度几何、试验、证据流、贡献、带符号的研究级重构、不一致性的 Hodge 分解、扩散与弹簧图。Read the evidence structure of a network meta-analysis. Fits the graph-theoretical model in your browser and draws it eight ways: precision geometry, trials, evidence flow, contributions, a signed study-level reconstruction, a Hodge split of inconsistency, diffusion and springs.