Visionary: The World Model Carrier Built on WebGPU-Powered Gaussian Splatting Platform
Neural rendering, particularly 3D Gaussian Splatting (3DGS), has evolved rapidly and become a key component for building world models. However, existing viewer solutions remain fragmented, heavy, or constrained by legacy pipelines, resulting in high deployment friction and limited support for dynamic content and generative 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.
6938e00fdfc35938ba129f4f
Yuning Gong
6938e00fdfc35938ba129f50
Yifei Liu
6938e00fdfc35938ba129f51
Yifan Zhan
6938e00fdfc35938ba129f52
Muyao Niu
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Xueying Li
6938e00fdfc35938ba129f54
Yuanjun Liao
6938e00fdfc35938ba129f55
Jiaming Chen
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Yuanyuan Gao
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Jiaqi Chen
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Minming Chen
6938e00fdfc35938ba129f59
Li Zhou
6938e00fdfc35938ba129f5a
Yuning Zhang
6938e00fdfc35938ba129f5b
Wei Wang
6938e00fdfc35938ba129f5c
Xiaoqing Hou
6938e00fdfc35938ba129f5d
Huaxi Huang
6938e00fdfc35938ba129f5e
Shixiang Tang
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Le Ma
6938e00fdfc35938ba129f60
Dingwen Zhang
6938e00fdfc35938ba129f61
Xue Yang
6938e00fdfc35938ba129f62
Junchi Yan
6938e00fdfc35938ba129f63
Yanchi Zhang
6938e00fdfc35938ba129f64
Yinqiang Zheng
6938e00fdfc35938ba129f65
Xiao Sun
6938e00fdfc35938ba129f66
Zhihang Zhong
claimed_verified
2025-12-10T08:56:28.162Z
6938f4de790b5cd0f6df6462
/avatars/4f22f0499d96bb749af7e8dba2b0b533.svg
Zhihang Zhong
Zuica96
user
Zuica96
Visionary: The World Model Carrier Built on WebGPU-Powered Gaussian Splatting Platform
Neural rendering, particularly 3D Gaussian Splatting (3DGS), has evolved rapidly and become a key component for building world models. However, existing viewer solutions remain fragmented, heavy, or constrained by legacy pipelines, resulting in high deployment friction and limited support for dynamic content and generative 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.
Visionary is an open web-native platform enabling real-time rendering of 3D Gaussian Splatting and meshes with efficient GPU-based inference, supporting dynamic content and generative models.
Neural rendering 3D Gaussian Splatting 3DGS WebGPU ONNX inference Gaussian Generator contract three.js TypeScript API MLP-based 3DGS 4DGS neural avatars style transformation GPU-based primitive sorting World Model Carrier