Maximilian Weiherer
@maxweiherer.bsky.social
PhD student at @fau.de. Part of @cogcovi.bsky.social. I’m working at the intersection of computer vision, computer graphics, and machine learning. I like kernels.
mweiherer.github.io
mweiherer.github.io
Reposted by Maximilian Weiherer
🚀 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
🔗 Project: meyerls.github.io/towards_mult...
📄 Paper: arxiv.org/pdf/2509.00989
💻 Code: github.com/j-gruen/MS-S...
#VMV25 #GaussianSplatting #NeRF #Multispectral
September 3, 2025 at 9:23 AM
🚀 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
🔗 Project: meyerls.github.io/towards_mult...
📄 Paper: arxiv.org/pdf/2509.00989
💻 Code: github.com/j-gruen/MS-S...
#VMV25 #GaussianSplatting #NeRF #Multispectral
I still remember the moment you first had this idea—during lunch at York University about 1.5 years ago. These guys have been working on this for more than ONE YEAR!!! This is insane, and way beyond a normal Sigbovik paper. Congrats on this huge success and an amazing paper!
Are you tired of context-switching between coding models in @pytorch.org and paper writing on @overleaf.com?
Well, I’ve got the fix for you, Neuralatex! An ML library written in pure Latex!
neuralatex.com
To appear in Sigbovik (subject to rigorous review process)
Well, I’ve got the fix for you, Neuralatex! An ML library written in pure Latex!
neuralatex.com
To appear in Sigbovik (subject to rigorous review process)
Neuralatex: A machine learning library written in pure LATEX
Neuralatex: A machine learning library written in pure LATEX
neuralatex.com
April 1, 2025 at 7:30 PM
I still remember the moment you first had this idea—during lunch at York University about 1.5 years ago. These guys have been working on this for more than ONE YEAR!!! This is insane, and way beyond a normal Sigbovik paper. Congrats on this huge success and an amazing paper!
Reposted by Maximilian Weiherer
Tired of seeing your papers being rejected from @cvprconference.bsky.social ? Let's revisit our 2023 #SIGBOVIK paper: "From Zero to Hero: Convincing with Extremely Complicated Math", led by @maxweiherer.bsky.social
Paper: mweiherer.github.io/zero2hero.pdf
Code: github.com/mweiherer/ze...
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Paper: mweiherer.github.io/zero2hero.pdf
Code: github.com/mweiherer/ze...
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April 1, 2025 at 7:09 PM
Tired of seeing your papers being rejected from @cvprconference.bsky.social ? Let's revisit our 2023 #SIGBOVIK paper: "From Zero to Hero: Convincing with Extremely Complicated Math", led by @maxweiherer.bsky.social
Paper: mweiherer.github.io/zero2hero.pdf
Code: github.com/mweiherer/ze...
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Paper: mweiherer.github.io/zero2hero.pdf
Code: github.com/mweiherer/ze...
1/4
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
Paper: arxiv.org/abs/2412.13244
December 19, 2024 at 11:23 AM
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
Paper: arxiv.org/abs/2412.13244
Reposted by Maximilian Weiherer
I am very excited to announce our paper “DynaMoN: Motion-Aware Fast and Robust Camera Localization for Dynamic Neural Radiance Fields” has been accepted to #IEEE RA-L.
Paper: ieeexplore.ieee.org/document/107...
Project page: hannahhaensen.github.io/DynaMoN/
Code: github.com/HannahHaense...
Paper: ieeexplore.ieee.org/document/107...
Project page: hannahhaensen.github.io/DynaMoN/
Code: github.com/HannahHaense...
December 9, 2024 at 11:39 AM
I am very excited to announce our paper “DynaMoN: Motion-Aware Fast and Robust Camera Localization for Dynamic Neural Radiance Fields” has been accepted to #IEEE RA-L.
Paper: ieeexplore.ieee.org/document/107...
Project page: hannahhaensen.github.io/DynaMoN/
Code: github.com/HannahHaense...
Paper: ieeexplore.ieee.org/document/107...
Project page: hannahhaensen.github.io/DynaMoN/
Code: github.com/HannahHaense...
The coffee machine in our lab broke, and won’t be fixed by the end of January 2025. This is just so unfair. I’ll better stay at home for the next two months.
November 29, 2024 at 4:57 PM
The coffee machine in our lab broke, and won’t be fixed by the end of January 2025. This is just so unfair. I’ll better stay at home for the next two months.
Reposted by Maximilian Weiherer
Excited to share our paper which will be presented at #3DV2025
✨ Gen3DSR: Generalizable 3D Scene Reconstruction via Divide and Conquer from a Single View ✨
🌐 Project page: andreeadogaru.github.io/Gen3DSR
📄 Paper: arxiv.org/abs/2404.03421
👩💻 Code: github.com/AndreeaDogar...
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✨ Gen3DSR: Generalizable 3D Scene Reconstruction via Divide and Conquer from a Single View ✨
🌐 Project page: andreeadogaru.github.io/Gen3DSR
📄 Paper: arxiv.org/abs/2404.03421
👩💻 Code: github.com/AndreeaDogar...
(1/5)
November 19, 2024 at 9:52 PM
Excited to share our paper which will be presented at #3DV2025
✨ Gen3DSR: Generalizable 3D Scene Reconstruction via Divide and Conquer from a Single View ✨
🌐 Project page: andreeadogaru.github.io/Gen3DSR
📄 Paper: arxiv.org/abs/2404.03421
👩💻 Code: github.com/AndreeaDogar...
(1/5)
✨ Gen3DSR: Generalizable 3D Scene Reconstruction via Divide and Conquer from a Single View ✨
🌐 Project page: andreeadogaru.github.io/Gen3DSR
📄 Paper: arxiv.org/abs/2404.03421
👩💻 Code: github.com/AndreeaDogar...
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