Case Study

Decart XR Collaboration + Challenge Winner 🥇

Contributed to Decart XR's GitHub samples, then built a first-prize Decart XR Challenge submission that transforms passthrough with real-time diffusion.

Collaboration

  • Contacted by Decart AI's XR developer to help on the Meta Quest app.
  • Contributed fixes and improvements to the open-source GitHub samples.
  • Decart XR repo
  • Learned the team's real-time stable diffusion pipeline.

Challenge build

  • Immersive video player that projects the on-screen vibe into the room.
  • Example: a dark rainy city video shifts the environment to match.
  • Achieved by scaling the passthrough camera texture to the user's view.
  • Won first prize in the Decart XR Challenge.

Limitations + future

  • Passthrough texture did not cover the full view yet at submission time.
  • Diffusion latency can introduce slight discomfort.
  • Future: map diffusion frames onto 3D geometry for depth-correct realism.
Demo

Challenge submission capture.

Launch Notes

Challenge announcement.

Open LinkedIn post

The original LinkedIn embed was unreliable on mobile and privacy-restricted browsers, so this page links out directly instead of loading a third-party iframe.

  • Highlights the Decart XR collaboration and open-source sample work.
  • Calls out the first-prize challenge result and public SideQuest release.
  • Keeps the external announcement one click away without breaking this page.