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Open Sourcing Forge: 3D Gaussian splat rendering for web developers! 3DGS has become a dominant paradigm for differentiable rendering, combining high visual quality and real-time rendering. However, support for splatting on the web still lags behind its adoption in AI.

120,072 次观看 • 1 年前 •via X (Twitter)

14 条评论

spark 的头像
spark1 年前

At @theworldlabs, we’re building generative 3D foundation models to unlock spatial intelligence. Splats are an important representation for 3D AI, so to enable our vision we built a fast, dynamic web renderer. We believe this tech can be useful to everyone working with 3DGS.

spark 的头像
spark1 年前

Today we’re open sourcing Forge under the MIT license for anyone to use or contribute to, aiming to expand what’s possible with 3DGS with a flexible architecture that enables fully dynamic & programmable Gaussian splatting.

spark 的头像
spark1 年前

Forge integrates seamlessly with @threejs, runs in the browser via WebGL2 (desktop, mobile, and VR), can load most major splat file formats, and requires minimal code to get up and running. It supports multiple splat objects, multiple cameras, and real-time animation/editing.

spark 的头像
spark1 年前

Underlying this is a design that runs user-programmable functions for every splat on the GPU (like shaders in modern 3D graphics) and can be used to create complex animations and effects. We want to help people build new interactive experiences never before seen with 3DGS!

spark 的头像
spark1 年前

You can find full source code, examples, documentation, and more at We can’t wait to see what you’ll build!

MrNeRF 的头像
MrNeRF1 年前

@forgegfx @BenMildenhall Awesome!

Georgia Gkioxari 的头像
Georgia Gkioxari1 年前

@forgegfx Nice!! Looks 🔥🔥

Yanming Di 的头像
Yanming Di1 年前

@forgegfx @grok what is splat, when can CS people stop inventing new terms ...

shank ⚡️ 的头像
shank ⚡️1 年前

@forgegfx Cool Will try

Julien Blanchon 🇺🇦 的头像
Julien Blanchon 🇺🇦1 年前

@forgegfx Possible to have an integration with threlte ?

Ian Curtis 的头像
Ian Curtis1 年前

@forgegfx 🤩🔥💯

Saitoshi 的头像
Saitoshi1 年前

Great to see Forge open-sourced, @sparkjsdev! Easy integration with Three.js scenes will make it even more accessible for developers. This will be a game changer!

XR# —WebXR with .NET, C# & XAML 的头像
XR# —WebXR with .NET, C# & XAML1 年前

@forgegfx Awesome! 👏

Patricia 的头像
Patricia1 年前

@forgegfx Awesome!

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FAU Erlangen-Nürnberg presents TRIPS Trilinear Point Splatting for Real-Time Radiance Field Rendering paper page: Point-based radiance field rendering has demonstrated impressive results for novel view synthesis, offering a compelling blend of rendering quality and computational efficiency. However, also latest approaches in this domain are not without their shortcomings. 3D Gaussian Splatting [Kerbl and Kopanas et al. 2023] struggles when tasked with rendering highly detailed scenes, due to blurring and cloudy artifacts. On the other hand, ADOP [R\"uckert et al. 2022] can accommodate crisper images, but the neural reconstruction network decreases performance, it grapples with temporal instability and it is unable to effectively address large gaps in the point cloud. In this paper, we present TRIPS (Trilinear Point Splatting), an approach that combines ideas from both Gaussian Splatting and ADOP. The fundamental concept behind our novel technique involves rasterizing points into a screen-space image pyramid, with the selection of the pyramid layer determined by the projected point size. This approach allows rendering arbitrarily large points using a single trilinear write. A lightweight neural network is then used to reconstruct a hole-free image including detail beyond splat resolution. Importantly, our render pipeline is entirely differentiable, allowing for automatic optimization of both point sizes and positions. Our evaluation demonstrate that TRIPS surpasses existing state-of-the-art methods in terms of rendering quality while maintaining a real-time frame rate of 60 frames per second on readily available hardware. This performance extends to challenging scenarios, such as scenes featuring intricate geometry, expansive landscapes, and auto-exposed footage.

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45,489 次观看 • 2 年前