🤝 Shared first authorship with Nicolas Schischka @mertkaraoglu.bsky.social — huge thanks to the entire team for the incredible collaboration and hard work!
#ICRA2025 #RA_L #ComputerVision #NeRF #Robotics #CameraLocalization #DynaMoN #AI #MIRMI #TUM #FAU

🔍 DynaMoN tackles the challenge of robust and accurate camera localization in dynamic scenes, pushing the boundaries of Neural Radiance Fields in motion-rich environments.

Finally an impactful conference deadline

Congrats 🎉

🙏 Huge thanks to my amazing collaborators! It’s been incredible working on these projects, and I’m thrilled to see them make it to IEEE VR 2025! Looking forward to engaging discussions at the conference! 🚀🎉

Authors: Hannah Schieber, Luisa Theelke, Dirk Wilhelm, Cristina Piazza, Ulrich Eck, Julian Kreimeier, and Daniel Roth
🔬 This work explores the current state and future directions of XR-based teleconsultation for medical interventions.

🏥 Workshop Presentation
📄 Extended Reality Teleconsultation for Medical Interventions: State of the Art and Perspectives

🩺 To be presented at the 3rd Workshop on XR Technologies for Healthcare, Wellbeing, and Medicine 2025

✅ Comprehensive Evaluation: A detailed technical assessment of SCGS.
✅ User Study: A two-phase study on user experience and perception of SCGS

Our Contributions:

✅ SCGS: A state-of-the-art Semantic-Controlled Gaussian Splatting (SCGS) approach that surpasses existing methods.
✅ New Dataset: A challenging outdoor NVS dataset with semantic labels, now publicly available 🔗 Dataset.

Thanks! I saw the code is available so I will give it a shot probably when I have some free gpu space. Is it trainable on one single 24GB? Otherwise I might be limited from GPU perspective.

Really cool work! Have you tried it on some non typical datasets? With similar feature spaces ?

🎉🥳

👍🫶

correct dataset link: hannahhaensen.github.io/SCGS/