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license: mit
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# Weight Space Representation Learning on Diverse NeRF Architectures (ICLR 2026)
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##
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``
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.
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βββ l_rec/
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β βββ best.pt
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βββ l_rec_con/
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βββ best.pt
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```
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where:
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- `l_con` is \\(\mathcal{L}_\text{C}\\)
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- `l_rec` is \\(\mathcal{L}_\text{R}\\)
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- `l_rec_con` is \\(\mathcal{L}_\text{R+C}\\)
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## Cite us
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```bibtex
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@inproceedings{ballerini2026weight,
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title
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author
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booktitle = {The Fourteenth International Conference on Learning Representations},
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year
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```
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---
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license: mit
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datasets:
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- frallebini/gmnerf
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tags:
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- weight-space-learning
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- nerf
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- graph-metanetwork
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---
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# Weight Space Representation Learning on Diverse NeRF Architectures (ICLR 2026)
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## Repo content
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- `l_con/best.pt`: \\(\mathcal{L}_\text{C}\\) model
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- `l_rec/best.pt`: \\(\mathcal{L}_\text{R}\\) model
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- `l_rec_con/best.pt`: \\(\mathcal{L}_\text{R+C}\\) model
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- `llana`: [LLaNA](https://andreamaduzzi.github.io/llana) model trained on \\(\mathcal{L}_\text{R+C}\\) embeddings
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## Cite us
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```bibtex
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@inproceedings{ballerini2026weight,
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title = {Weight Space Representation Learning on Diverse {NeRF} Architectures},
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author = {Ballerini, Francesco and Zama Ramirez, Pierluigi and Di Stefano, Luigi and Salti, Samuele},
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booktitle = {The Fourteenth International Conference on Learning Representations},
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year = {2026}
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```
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