Great work led by Josef Grün & Lukas Meyer and with @maxweiherer.bsky.social, @visionbernie.bsky.social, @mcstammi.bsky.social and @linusfranke.bsky.social!

To explore this, we systematically compare three strategies for incorporating multi-spectral data into 3DGS and show how spectral cross-talk (the exchange of information between RGB and multi-spectral data) enhances both RGB and spectral reconstructions.

While 3DGS excels on RGB data, naive per-band optimization of additional spectra yields poor reconstructions due to inconsistently appearing geometry in the spectral domain.

We fuse RGB and multi-spectral imagery (red, green, red-edge, near-infrared) into the 3D Gaussian Splatting (3DGS) framework.

🚀 Excited to share that our paper "Towards Integrating Multi-Spectral Imaging with Gaussian Splatting" was accepted at VMV 2025! 🎉

🔗 Project: meyerls.github.io/towards_mult...
📄 Paper: arxiv.org/pdf/2509.00989
💻 Code: github.com/j-gruen/MS-S...

#VMV25 #GaussianSplatting #NeRF #Multispectral

Want to do 2 years of postdoc @cogcovi.bsky.social

@unifau.bsky.social in Germany with me?

Open Topic around 3D Computer Vision, Neural Rendering, Human Vision, Inverse Rendering, Statistical Shape Modelling or related

Happy to share our latest 3D generative breast model: the *implicit* RBSM, or iRBSM for short. As opposed to its PCA-based predecessor, the iRBSM leverages implicit neural representations, yielding a highly detailed and expressive 3D breast model.

Paper: arxiv.org/abs/2412.13244