Sign inGet started
Dataset · Hugging Face

Yanran21/ARForensics

[ICCV2025] D^3QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection Paper: D^3QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection | Project Page: https://ivg-yanranzhang.github.io/D3QE/ | Code: https://github.com/Zhangyr2022/D3QE 🚨 Urgent Update!The original test set, when unpacked, contained the following subfolders:"Infinity", "Janus_Pro", "RAR"… See the full description on the dataset page: https://huggingface.co/datasets/Yanran21/ARForensics.

Author / organizationYanran21
License (as declared)mit
Downloads1.7K (as reported by Hugging Face)
Likes4
Created3 October 2025
Last updated at source13 October 2026
image-generation-detectiondeepfake-detectionautoregressive-modelsimage-forensicsgenerationAI-Generated-Image-Detection
Embed this entry
<iframe src="https://silytics.si/embed/item/6e157bc6-d9bf-4c4c-b2c8-a4f6c171aedc" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

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 Information may be incomplete or out of date.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.