[GUIDE] EVOVA 3D Neural Rendering Engine
"More real than reality, overwhelming photorealism”
3D Gaussian Splatting, also known as 3DGS, is a new way to create highly realistic 3D content from photos or videos.
You can think of it like a pointillist painting in 3D space.
In a pointillist painting, each individual dot may not mean much on its own. But when thousands or millions of dots come together, they form a complete image. 3D Gaussian Splatting works in a similar way. It places a large number of tiny visual elements in 3D space, and when viewed together, they create a realistic 3D object or scene.
Countless Gaussian points come together to form a complete 3D object.
This makes 3DGS one of the most exciting technologies in the field of next-generation neural rendering.
Most traditional 3D data is represented as a 3D mesh.
A 3D mesh is made by connecting many small flat surfaces, usually triangles or polygons, to form a 3D shape. A simple way to imagine this is a soccer ball. A soccer ball is made by connecting many pentagons and hexagons together to form a round shape.
This mesh-based approach is powerful and widely used in games, animation, product design, and simulation. However, creating highly realistic 3D content with meshes often requires a lot of time, skill, and cost. Artists may need to manually create the shape, textures, materials, lighting, and many other details.
3D Gaussian Splatting takes a different approach.
Instead of manually building a 3D object with connected surfaces, 3DGS can create realistic 3D data from a set of photos or a video. It focuses on capturing the real appearance of an object or space, including colors, textures, reflections, and subtle visual details.
Because of this, 3DGS is especially useful when realism matters.
With 3D Gaussian Splatting, realistic 3D content can be created much faster and more efficiently than many traditional 3D production workflows.
This opens up new possibilities across many industries, such as: