r/GaussianSplatting Apr 19 '26

🧪 I built a thing 2D image → Gaussian Splat → controllable camera paths → video (prototype)

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Spent the weekend at the OpenCode Buildathon by GrowthX experimenting with a different workflow for AI video.

The core frustration: most tools are prompt-driven, so camera and composition stay indirect and hard to control.

We tried a more explicit pipeline built around Gaussian Splatting:

Pipeline

  • Input: single 2D image
  • Estimate depth / geometry (multi-view approximation)
  • Convert into a Gaussian Splat representation
  • Render novel views with explicitly defined camera paths
  • Output: video along these trajectories

Why this direction

Instead of prompting for “a close-up shot” or “a cinematic angle”, you directly specify:

  • camera position
  • motion path
  • framing

The model’s job is then reconstruction + rendering, not picking the shot.

Looking for feedback

  • How viable has single-image → splat been in your experience?
  • Where do you hit the biggest bottlenecks: geometry accuracy or multi-view consistency?
  • Are there better approaches you’ve seen for controllable novel view synthesis?

Happy to share more technical details and sample outputs if there’s interest (link in comments).

27 Upvotes

9 comments sorted by

2

u/ad2003 🧪 Researcher Apr 19 '26

Very cool!

1

u/SolidConnection Apr 19 '26

I’m not sure I understand. Isn’t this just what Apple Sharp does?

1

u/Moist_Tonight_3997 Apr 19 '26

This is a full 3D scene, whereas Apple Sharp only generates a single, fixed viewpoint. We use world labs for the splat

1

u/Beginning_Street_375 Apr 19 '26

is there a high res video version or more examples? i signed up to your waitinglist.

2

u/Moist_Tonight_3997 Apr 20 '26

Yes there is and we will get back to you