A team of Apple researchers has developed a new framework that enables high-resolution 3D scene rendering with far greater efficiency. Here are the details of the new study.
A bit of context
In a new study titled Less Gaussians, Texture More: 4K Feed-Forward Textured Splatting, a group of researchers from Apple and Hong Kong University propose a new framework, aptly called LGTM.
In the study, the researchers explain that as resolution increases, existing feed-forward 3D Gaussian Splatting methods quickly become too expensive to run, making high-resolution scenes increasingly impractical.
Feed-forward 3D Gaussian Splatting, in a nutshell, is a way for an AI model to quickly turn one or a few images into a 3D scene that can be viewed from new angles.
In fact, we recently covered SPLAT, an open-source model developed by Apple, which employs feed-forward 3D Gaussian Splatting that creates 3D views from a single 2D image, and it yields impressive results:
New paper from Apple β Sharp Monocular View Synthesis in Less than a Second
Mescheder et al. @ Apple just released a very impressive paper (congrats! ππ₯³). You give it an image and it generates a really great looking 3d Gaussian representation. Uses depth pro. It's really good.β¦ pic.twitter.com/XSZCZA8iio β Tim Davison α― (@timd_ca) December 16, 2025
Feed-forward 3D Gaussian Splatting differs from per-scene optimization approaches, which build each scene individually, step by step. Although they usually take longer to process, they can generally produce more stable results.
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