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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Visionary: The World Model Carrier Built on WebGPU-Powered Gaussian Splatting Platform
| Date | Stars |
|---|---|
| 2026-07-24 | 514 |
| 2026-07-25 | 514 |
| 2026-07-28 | 514 |
| 2026-07-30 | 515 |
| 2026-08-06 | 515 |
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# Visionary <div align="center"> <img width="140" height="96" alt="Logo_深色竖版英文" src="https://github.com/user-attachments/assets/2d2f2c37-9fd5-438a-bb42-8163b5f8aa7a" /> [](LICENSE) [](https://www.w3.org/TR/webgpu/) [](https://www.typescriptlang.org/) [English](README.md) | [中文](README-zh.md) <h1 style="font-size:32px; margin: 6px 0 4px 0;">Visionary: The World Model Carrier Built on WebGPU-Powered Gaussian Splatting Platform</h1> <p style="margin: 0 0 12px 0; font-size: 14px;">Shanghai AI Laboratory · Sichuan University · The University of Tokyo · Shanghai Jiao Tong University · Northwestern Polytechnical University</p> [Online Editor](https://visionary-laboratory.github.io/visionary/index_visionary.html) | [Project Page](https://visionary-laboratory.github.io/visionary/) | [Paper](https://arxiv.org/abs/2512.08478) | [Video](https://youtu.be/-K8EjMfk09c) | [WebGPU Issues](https://github.com/Visionary-Laboratory/visionary/issues/1) | [Document](https://ai4sports.opengvlab.com/help/index.html) </div> --- > **TL;DR:** Visionary is an open, web-native platform built on WebGPU and ONNX Runtime. Enabling real-time rendering of diverse Gaussian Splatting variants (3DGS, MLP-based 3DGS, 4DGS, Neural Avatars and <span style="font-family: 'Brush Script MT', cursive; font-size: 1.2em; color: #FFD700; text-shadow: 1px 1px 2px black;">✨**any future algorithms**✨</span>), and traditional 3d Mesh, directly in the browser. We also support post-processing using feed-forward networks. <details> <summary><b>Abstract</b></summary> Neural rendering, particularly 3D Gaussian Splatting (3DGS), has evolved rapidly and become a key component for building world models. In this work, we present Visionary, an open, web-native platform for real-time various Gaussian Splatting and meshes rendering. Built on an efficient WebGPU renderer with per-frame ONNX inference, Visionary enables dynamic neural processing while maintaining a lightweight, "click-to-run" browser experience. It introduces a standardized Gaussian Generator contract, which not only supports standard 3DGS rendering but also allows plug-and-play algorithms to generate or update Gaussians each frame. Such inference also enables us to apply feedforward generative post-processing. The platform further offers a plug in three.js library with a concise TypeScript API for seamless integration into existing web applications. Experiments show that, under identical 3DGS assets, Visionary achieves superior rendering efficiency compared to current Web viewers due to GPU-based primitive sorting. It already supports multiple variants, including MLP-based 3DGS, 4DGS, neural avatars, and style transformation or enhancement networks. By unifying inference and rendering directly in the browser, Visionary significantly lowers the barrier to reproduction, comparison, and deployment of 3DGS-family methods, serving as a unified World Model Carrier for both reconstructive and generative paradigms. </details> We have developed a powerful [Online Editor](https://visionary-laboratory.github.io/visionary/index_visionary.html) based on Visionary to help users easily manage and edit 3D scenes in one click. If you want to develop your own web project using this project, please refer to [Quick Start](#quick-start). https://github.com/user-attachments/assets/6824de84-e4db-4c3f-90e8-1061ff309579 ## ✨ Feature - **⚡️ Native WebGPU Powered**: Utilizes `webgpu` to achieve high-performance parallel sorting and rendering of millions of Gaussian particles. - **🎨 Hybrid Rendering Architecture**: Automatically handles depth mixing (Depth Compositing) between Gaussian point clouds and standard Meshes, perfectly solving occlusion issues and supporting complex scene compositions. - **📦 Universal A
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:b5f26a11780b27fa, topic:computer-vision, topic:gaussian-splatting, desc:gaussian splatting
