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Scene Splatter: Momentum 3D Scene Generation from Single Image with Video Diffusion Model

CVPR 2025 · Video › Video generation · approach: Efficient video diffusion models · 1 citations (OpenAlex)

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Scene Splatter iteratively generates a 3D scene from a single image by using latent-level and pixel-level "momentum" from rendered Gaussian splats to guide a video diffusion model (ViewCrafter) and refine 3DGS.

Problem

Generating consistent, high-fidelity 3D scenes from a single image with video diffusion models is hard because generated videos are short and change existing scene content, causing artifacts when reconstructing 3D.

Approach

Construct noisy samples from rendered latent features as latent-level momentum to keep existing content consistent, then blend with a pixel-level momentum (scale-map-weighted) so unseen regions are still generated freely; iterate render-generate-finetune of Gaussians to build scenes beyond video length limits.

Key results

Measured effects reported in the paper

What was changedWhereMeasuredEffect
use Scene Splatter's cascaded momentum instead of ViewCrafterScene Splatter · RealEstate10K easy setPSNR: 20.70 -> 20.95Helped
use Scene Splatter's cascaded momentum instead of ViewCrafterScene Splatter · RealEstate10K hard setPSNR: 15.63 -> 17.62Helped
add video diffusion model (ablation)Scene Splatter · Rendering resultsPSNR: 16.14 -> 19.81Helped
add latent-level momentum (ablation)Scene Splatter · Rendering resultsPSNR: 18.52 -> 19.81Helped
add pixel-level momentum (ablation)Scene Splatter · Rendering resultsPSNR: 16.31 -> 19.81Helped

Surprising findings

Limitations

Experimental setup

Datasets: RealEstate10K

Benchmarks: RealEstate10K subset (easy and hard sets)

Metrics: PSNR SSIM LPIPS

Baselines: Flash3D CogVideoX ViewCrafter

Builds on: 3D Gaussian Splatting ViewCrafter Flash3D latent video diffusion

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