aimagelab/VHS

[CVPR2026 Findings] VHS: Verifier on Hidden States, an efficient inference-time scaling verification framework for DiT-based image generation.

27
/ 100
Experimental

VHS helps creative professionals, marketers, or researchers quickly find the best image from multiple AI-generated options for a given text prompt. It takes a text description and generates several candidate images, then automatically selects the highest-quality one, saving time and computational resources compared to manually reviewing or fully evaluating every image. This is ideal for anyone generating many images from text who needs a fast, automated way to pick the best result.

Use this if you are generating multiple images from text descriptions and need an efficient, automated way to select the best one without extensive manual review or full evaluation of every candidate.

Not ideal if you need fine-grained control over image generation beyond selecting the best from a batch, or if your primary goal is generating unique images rather than optimizing quality from existing candidates.

AI-art-generation creative-workflow digital-content-creation image-optimization text-to-image
No Package No Dependents
Maintenance 13 / 25
Adoption 5 / 25
Maturity 9 / 25
Community 0 / 25

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Language

Python

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Last pushed

Mar 25, 2026

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