frallebini/gmnerf
Weight Space Representation Learning on Diverse NeRF Architectures (ICLR 2026) This repository contains the datasets for the paper Weight Space Representation Learning on Diverse NeRF Architectures, accepted at ICLR 2026. The paper proposes a framework that is capable of processing NeRFs with diverse architectures (MLPs, tri-planes, and hash tables) by training a graph metanetwork to obtain an architecture-agnostic latent space. NeRF weights Main dataset… See the full description on the dataset page: https://huggingface.co/datasets/frallebini/gmnerf.
| Author / organization | frallebini |
|---|---|
| License (as declared) | mit |
| Downloads | 381 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 16 October 2025 |
| Last updated at source | 3 April 2026 |
Recent changes
- 16 Oct 2026 Description: Weight Space Representation Learning on Diverse NeRF Architectures (ICLR 2026) This repository contains the datasets for the paper Weight Space Representation Learning on Diverse NeRF Architectures, accepted at ICLR 2026. The paper proposes → Weight Space Representation Learning on Diverse NeRF Architectures (ICLR 2026) This repository contains the datasets for the paper Weight Space Representation Learning on Diverse NeRF Architectures, accepted at ICLR 2026. The paper proposes
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