Sign inGet started
Dataset · Hugging Face

Peter2023HuggingFace/NeuMERL

NeuMERL The Neural Augmented MERL dataset (NeuMERL, 2400 BRDFs) dataset adopted in the paper M3ashy: Multi-Modal Material Synthesis via Hyperdiffusion. Technical report Please download it at ./NeuMERL-2400.npy, with Pytorch weights of shape (2400, 675). Alternatively, please download them separately (for i from 1 to 24) at ./NeuMERL(24*100)/mlp_weights_all_{i}.npy. Usage The dataset is stored in a numpy file, with all the MLP weights linearized in a single… See the full description on the dataset page: https://huggingface.co/datasets/Peter2023HuggingFace/NeuMERL.

View on Hugging Face
Report an issue
Author / organizationPeter2023HuggingFace
License (as declared)bsd
Downloads176 (as reported by Hugging Face)
Likes1
Created18 January 2025
Last updated at source21 March 2026
Embed this entry
<iframe src="https://silytics.si/embed/item/6d0284f8-d76a-49b0-9f64-8af13b4740b8" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Recent changes

  • 16 Oct 2026 Description: NeuMERL The Neural Augmented MERL dataset (NeuMERL, 2400 BRDFs) dataset adopted in the paper M3ashy: Multi-Modal Material Synthesis via Hyperdiffusion. Technical report Please download it at ./NeuMERL-2400.npy, with Pytorch weights of shape → NeuMERL The Neural Augmented MERL dataset (NeuMERL, 2400 BRDFs) dataset adopted in the paper M3ashy: Multi-Modal Material Synthesis via Hyperdiffusion. Technical report Please download it at ./NeuMERL-2400.npy, with Pytorch weights of shape

Changes detected by Silytics between refreshes of the source.

More from Peter2023HuggingFace

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.