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Boom! all-time high MRR for TrustMRR. The new sponsor is Shri @shri_vatz. He's building a SaaS named Guidejar. His startup is currently at $5,100 MRR, growing at 10% MoM. It took him 2 years. He invested 33% of his monthly recurring revenue to be featured. Check him out!
Shri's SaaS is also verified on TrustMRR! https://t.co/0glnBNsSvq
Claude Code 又封号了？这个网站帮你找到最稳定的中转站。 Claude Code好用，但经常封账号，TMD！ 很多朋友都会选中转站或搭车队组团。 今天帮朋友研究哪个中转站稳定，没想群友发了一个网站。 可以监控国内所有Claude Code中转站的服务稳定性！ 原来有这么多家，真卷啊！ 不过据说今天很多站受封号影响。 网址见评论区
网址 https://t.co/6ESJjyqXRE
Paper: https://t.co/Q5gC8xJ1l2 Project: https://t.co/koZzm9mzbW YouTube: https://t.co/aGnGwvIY03 Code: https://t.co/WufardCsSv
Mesh
Radiance Meshes for Volumetric Reconstruction TL;DR: First method to rasterize a radiance field (not primitives like 3DGS) Abstract: We introduce radiance meshes, a technique for representing radiance fields with constant density tetrahedral cells produced through Delaunay tetrahedralization. Unlike a Voronoi diagram, Delaunay tetrahedralization yields simple triangles natively supported by existing hardware. As such, our model performs exact and fast volume rendering using both rasterization and ray-tracing. We introduce a new rasterization method that achieves faster rendering speeds than all prior radiance field representations (assuming an equivalent number of primitives and resolution) across a variety of platforms. Optimizing the positions of Delaunay vertices introduces topological discontinuities (edge flips). To solve this, we use a Zip-NeRF-style backbone, allowing us to express a smoothly varying field even when the topology changes. Our rendering method exactly evaluates the volume rendering equation, enabling high-quality, real-time view synthesis on standard consumer hardware. Our tetrahedral meshes also lend themselves to a variety of exciting applications, including fisheye lens distortion, physics-based simulation, editing, and mesh extraction.
Paper: https://t.co/Q5gC8xJ1l2 Project: https://t.co/koZzm9mzbW YouTube: https://t.co/aGnGwvIY03 Code: https://t.co/WufardCsSv
Nano Banana Pro Prompt: 将照片放入复古诺基亚手机中，灵感来自原推，我这个会直接转换照片人像，同时增加复古 UI 增加真实感。 --------------------------------- 指令：基于附带的照片，将图像显示在复古手机的屏幕界面内，并进行特定的风格变换。 画面描述：这是一张抓拍的、略微倾斜的复古诺基亚手机特写（经典直板造型，例如 6610 或类似的早期彩屏机型），手机在画面中随意地呈对角线放置。低分辨率的发光 LCD 屏幕占据了构图的主导地位，填满了大部分视野。周围坚固的塑料外壳和物理 T9 键盘/导航键的顶部区域仅部分可见，并在画面边缘被裁剪掉。 屏幕内容：像素化的屏幕上显示着一个实时的“相机预览”界面： 照片内容： 附带照片中的人物经过转换，身穿明显的千禧年 Y2K 流行时装（例如闪亮的金属面料、天鹅绒运动装、水钻细节或层叠网眼织物）。整个场景呈现出浓重的早期拍照手机美学：明显的像素网格（纱窗效应）、有限且略微褪色的调色板，以及块状的压缩伪影。 复古 UI 叠加： 覆盖在照片视图之上的是低像素、单色的诺基亚用户界面元素。 屏幕顶部边缘：像素化的信号强度条（左）、“Camera”文字（中）、块状电池图标（右）。 屏幕底部角落：块状像素字体的软键（Soft-key）标签，左侧显示“Options”（选项），右侧显示“Back”（返回）。 氛围与光影：屏幕发出特有的绿蓝色 LCD 背光色调，微弱的光线投射在周围的塑料边框上。整体氛围怀旧、具有互动感，且呈现出真实的低保真（Lo-fi）科技感。 参数设置： 比例： 4:5 竖幅 相机视角： 复古手机屏幕微距特写，手持视角 屏幕模拟： 早期 CSTN 或 TFT LCD 屏幕，可见像素颗粒，特有的绿色色偏 UI 元素： 复古低分辨率单色像素图标和块状文字覆盖 内容变换： 将人物服装替换为 Y2K 千禧年流行风格 调色风格： 低饱和度冷色调，数字噪点，颜色抖动伪影，屏幕荧光
关注人工智能、LLM 、 AI 图像视频和设计（Interested in AI, LLM, Stable Diffusion, and design） AIGC 周刊主理人｜公众号：歸藏的AI工具箱
I will keep sounding it loudly, the water supply should be Nigeria's primary. We need clean water readily available, and it's super easy to do. It is easy to scale and pays for itself even in poor rural areas. It reduces deaths, improves health, lowers the cost of agricultural produce, improves school enrollment, and improves sanitary standards. Water, water, water. In 4 years, we can solve Nigeria's entire water situation.
Founder | Author | Speaker Building @beltstripe. Healtech/EdTech/Agric I'm Not The Man Of Your Dreams. Your Imagination Wasn't This Great.