# Beyond Sight: Probing Alignment Between Image Models and Blind V1

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/beyond-sight-probing-alignment-between-image-models-and-blind-v1/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jacob Granley,Galen Pogoncheff,Rodil, Alfonso,Leili Soo,Lily M. Turkstra,Lucas Nadolskis,Arantxa Alfaro Saez,Cristina Soto‐Sánchez,Jover, Eduardo Fernandez,Michael Beyeler |
| Citations | 0 |
| DOI | 10.48550/arxiv.2403.12990 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/2403.12990 |
| OpenAlex ID | https://openalex.org/W4393100341 |
| Type | preprint |
| Year | 2024 |

## Paper authors

- [Lily M. Turkstra](https://scholariq.org/researchers/lily-m-turkstra/)

## Paper journal

- [arXiv (Cornell University)](https://scholariq.org/journals/arxiv-cornell-university/)

## Paper primary topic

- [Digital Media Forensic Detection](https://scholariq.org/topics/digital-media-forensic-detection/)

## Paper topics

- [Digital Media Forensic Detection](https://scholariq.org/topics/digital-media-forensic-detection/)
- [Generative Adversarial Networks and Image Synthesis](https://scholariq.org/topics/generative-adversarial-networks-and-image-synthesis/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.