Learn about the initial implementation of Gaussian splatting support in Blender and future development plans for this project.

As real-time rendering and generative AI evolve, developers have more ways to represent visual content than traditional polygon meshes. One format attracting attention is 3D Gaussian Splatting (3DGS). The interesting question is not whether 3DGS will replace meshes. It is where each representation fits in a production pipeline—and what trade-offs developers should consider. Meshes and 3DGS represent scenes differently A mesh describes a surface using vertices, edges, and polygons. This gives developers explicit geometry to work with. Meshes fit established workflows for UV mapping, material editing, collision, deformation, and skeletal animation. 3DGS represents a scene using many Gaussian primitives. Each splat has attributes such as position, color, opacity, and shape. Together, they can reproduce detailed appearance from different viewpoints, including visual features that are difficult to model as clean geometry. That difference matters. A visually convincing representation is not automatically a production-ready game asset. A mesh provides explicit surfaces and topology; a 3DGS scene prioritizes appearance through a different representation. Where 3DGS may be useful 3DGS is especially interesting for content with complex visual detail, such as hair, fur, foliage, and textured real-world environments. In reconstruction workflows, it can preserve the appearance of a captured scene without requiring every detail to be rebuilt as conventional geometry. This could make it useful for certain environment elements, visual references, or scenes where appearance matters more than extensive deformation. But the right choice depends on the requirements of the project. For example, a character that needs skeletal animation, precise collision, and frequent material changes may fit more naturally into a mesh-based pipeline. A captured environment that is mostly viewed from a limited range of angles may be a candidate for a splat-based representation. These are possibilities to evaluate, not universal rules. Questions to ask before choosing a representation When evaluating 3DGS or meshes for a real-time project, consider: Does the asset need to deform? Characters and gameplay objects may need rigging, skinning, and predictable geometry. Does it need collision or physics? Visual representation and collision representation may need to be handled separately. How will the camera move? Viewpoint range can affect how a reconstructed asset looks. How editable does it need to be? Consider whether artists need to change topology, materials, or individual scene elements. What are the runtime constraints? Performance depends on the implementation, hardware, scene size, and rendering pipeline—not just the representation format. Can the asset be reused elsewhere? A production pipeline may need exports for multiple engines, tools, or output formats. A hybrid pipeline may be worth exploring Meshes and 3DGS do not have to be treated as competing formats. A project could use meshes for characters, collision, and gameplay-driven objects, while using splats for selected environments or captured visual detail. The challenge is integration. Teams need to consider import and export, runtime performance, lighting, interaction, level of detail, and how artists will inspect and edit the result. Those requirements will vary between engines and projects, so practical tests matter more than broad claims about one format being universally better. 3DGS makes a different point in the design space: it offers another way to represent detailed visual content. The useful question for game developers is where that representation solves a real production problem—and where the existing mesh workflow remains the better fit. How are you evaluating 3DGS, meshes, or hybrid approaches in your own real-time projects? Which constraint has mattered most so far: editability, animation, collision, visual fidelity, or runtime performance? References Kerbl et al., “3D Gaussian Splatting for Real-Time Radiance Field Rendering,” SIGGRAPH 2023. Mildenhall et al., “NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis,” ECCV 2020. This article was prepared with AI assistance and should be reviewed by the author for technical accuracy before publication.

3D Gaussian Splatting (3DGS) is quickly changing how real-world scenes are captured and shared. As the Metaverse Standards Forum’s 3D Assets Working Group studies interoperability and compression for ...

Against my better judgement, here's a "everything's changed!" release. Originally this repository was made to play around with some simple forms of 3DGS in-memory compression, where I explored a ch...

Captured 2026/10/26 on an iPhone 13 Pro 5M gaussian capture, cleaned up to 4.3M in SuperSplat Editor

Explore SHARE3DCAM V2.7, featuring improved 3D Gaussian Splatting, point cloud mesh generation, semantic labels, and new reality capture tools.

フォトグラメトリと3DGSをぎっしり詰め込んだ巨大ミュージアム！ 圧倒的ボリュームに大満足間違いなし！ Photogrammetry ＆ 3DGS Museum․ English Supported․

Fix #25: Orthographic projection now works. #214 (@wells2kb) Fix: Improved blending of gaussians with skyboxes and other objects. #189 (@AdrianTheFrog) and #199 (@mwfarb) Fix: Splat editing selecti...

「Idol」の概要をまとめました。 1. Idolとは 「Idol」は、1枚の画像から3Dオブジェクトを生成するAIモデルです。「Speridlabs」によって、2026年10月に公開されました。 写真やCG画像を入力すると、画像に写っていない裏側もAIが推測し、360度から見られる3Dオブジェクトを生成します。 生成形式には「3D Gaussian Splatting（3DGS）」を採用しています。これは、多数の半透明の楕円体（Gaussian）を3D空間に配置し、物体の形状や見た目を表現する技術です。 主な特徴は次のとおりです。 ・画像1枚から3D生成：見えていない