lensless-computational-imaging

timofeiiz/lensless-computational-imaging

lensless-computational-imaging is a machine learning model from timofeiiz. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.

10 models for reconstructing images from a lensless camera. Trained on DigiCam-Mirflickr-MultiMask-10K.

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Updated Jun 19, 2026

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261 MB

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At a glance

Library: transformers
License: mit
Access: Public
Created: Jun 18, 2026
Updated: Jun 19, 2026
SHA: bf49d65c

Model card

From the Hugging Face model README

Lensless Computational Imaging

10 models for reconstructing images from a lensless camera. Trained on DigiCam-Mirflickr-MultiMask-10K.

Models

Classical

Subfolder	Description
`admm100`	ADMM, 100 iterations, fixed hyperparameters.
`fista100`	FISTA, 100 iterations, fixed hyperparameters.

Unrolled

Subfolder	Description
`le_admm20`	ADMM, 20 unrolled steps with learnable per-step hyperparameters.
`le_fista20`	FISTA, 20 unrolled steps with learnable per-step hyperparameters.

Modular

Subfolder	Description
`modular_le_admm5_prepost`	Pre-UNet → 5 ADMM steps → post-UNet.
`modular_le_admm5_pre`	Pre-UNet → 5 ADMM steps.
`modular_le_admm5_post`	5 ADMM steps → post-UNet.
`modular_le_fista5_prepost`	Pre-UNet → 5 FISTA steps → post-UNet.

GAN super-resolution

Subfolder	Description
`admm100_bsrgan`	ADMM-100 + pretrained BSRGAN x4.
`admm100_bsrgan_finetune`	ADMM-100 + BSRGAN x4 fine-tuned on DigiCam.

Usage

from transformers import AutoModel

model = AutoModel.from_pretrained(
    "timofeiiz/lensless-computational-imaging",
    subfolder="modular_le_admm5_prepost",
    trust_remote_code=True,
)
recon = model(lensless, psf)

Library: transformers
License: mit
Created: Jun 18, 2026
Updated: Jun 19, 2026