开启时会模糊预览图，关闭后正常显示
🍌 Extract an image into a JSON-formatted prompt. --- Prompt Start --- Provide a detailed and comprehensive JSON prompt describing all aspects necessary for accurately replicating the original image. Include specifics about objects, clothing, hairstyles, intricate details, accessories, photographic equipment, environment, lighting, style, body poses, and any other relevant elements, ensuring that every detail of the original image can be precisely recreated.
credit to @threeaus
开发 Windows 应用时想加入一些 AI 功能，比如图像识别、文本生成之类的，从零开始配置模型和写代码，耗时耗力。 因此，微软开源了一个开发工具：AI Dev Gallery，专为 Windows 开发者设计，帮助大家快速使用模型和集成各种 AI 能力。 提供 25+ 个可交互的 AI 示例，涵盖图像、文本、语音等多个领域，可直接从 Hugging Face 和 GitHub 浏览下载模型。 GitHub：https://t.co/VacKyQzyUi 每个示例都提供完整的 C# 源代码，可以一键导出成独立的 Visual Studio 项目，方便二次开发。 通过微软商店下载安装，或克隆代码用 Visual Studio 2022 或更高版本编译运行。
💡 挖掘开源的价值 🧑🏻💻 坚持分享 GitHub 上高质量、有趣、实用的教程、AI工具、前沿 AI 技术 🧐 A list cool, interesting projects of GitHub. ✏️ 公众号：GitHubDaily
Neural Texture Splatting: Expressive 3D Gaussian Splatting for View Synthesis, Geometry, and Dynamic Reconstruction Contributions: • We introduce Neural Texture Splatting (NTS), a novel representation that augments 3D Gaussian Splatting with neural per-primitive RGBA texture fields. This serves as a robust representation that enhances 3DGS-based methods across a wide range of tasks. • We propose leveraging a global tri-plane network to predict localized texture fields. This enables expressive modeling of geometry and appearance while ensuring robustness across tasks. • Extensive experiments demonstrate that our representation consistently improves existing state-of-the-art methods across diverse benchmarks, including dense and sparse-view novel view synthesis, surface reconstruction, and dynamic reconstruction.
Paper: https://t.co/Agos3UrI9C Project: https://t.co/l5VtVUWX1p
Stripe added verified MRR links! So if you see anyone making wild MRR claims, it's pretty easy to ask them to prove it. https://t.co/UBx0EJkTeK
🐻 https://t.co/KoqV5WRAhy image generation 🐱 https://t.co/sWdLzFnryh video rendering 🐰 https://t.co/BEjZjIEaQS data extraction Bootstrapping SaaS @ $77K MRR
Stripe added verified MRR links! So if you see anyone making wild MRR claims, it's pretty easy to ask them to prove it. https://t.co/UBx0EJkTeK
🐻 https://t.co/KoqV5WRAhy image generation 🐱 https://t.co/sWdLzFnryh video rendering 🐰 https://t.co/BEjZjIEaQS data extraction Bootstrapping SaaS @ $77K MRR
Claude 4.5 Opus 把 SWE Bench 评测分提到 80.9% 了，算是软件工程能力已经达到 80 分了吧。不知道取得 90 分还要多久，根据最后的 20% 还要 80% 的付出（或者最后 10% 还要 90%）的原则，可能还要很久很久… PS：上个月送的 Claude Max 订阅还有六天就要到期了，找时间试一试 4.5 Opus。
生活在杭州良渚的开发者。最近在做 https://t.co/Fu0JLSMTGF
