Is Nano Banana Pro a Low-Level Vision All-Rounder?

A Comprehensive Evaluation on 14 Tasks and 40 Datasets

 Huazhong University of Science and Technology

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 Is Nano Banana Pro a Low-level Vision All-Rounder?

The rapid evolution of text-to-image generation models has revolutionized visual content creation. While commercial products like Nano Banana Pro have garnered significant attention, their potential as generalist solvers for traditional low-level vision challenges remains largely underexplored.

In this study, we conducted a comprehensive zero-shot evaluation across 14 distinct low-level tasks spanning 40 diverse datasets. By utilizing simple textual prompts without fine-tuning, we benchmarked Nano Banana Pro against state-of-the-art specialist models.

Our extensive analysis reveals a distinct performance dichotomy: while Nano Banana Pro demonstrates superior subjective visual quality, often hallucinating plausible high-frequency details that surpass specialist models, it lags behind in traditional reference-based quantitative metrics.



Technical Report

Generated Examples of Nano Banana Pro

Dehazing
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Super Resolution
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Deraining
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Shadow Removal
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Motion Deblurring
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Defocus Deblurring
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Denoising
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Reflection Removal
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Flare Removal
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Low-Light Image Enhancement
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Underwater Image Enhancement
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HDR Imaging
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Multi-Focus Image Fusion
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Infrared-Visible Image Fusion
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Contributors

Jialong Zuo
Project Leader
Haoyou Deng
Document Polish
Hanyu Zhou
Denoising and Low Light Image Enhancement
Jiaxin Zhu
Motion Deblurring and Defocus Deblurring
Yicheng Zhang
Multi-focus Image Fusion and Infrared-Visible Image Fusion.
Yiwei Zhang
Underwater Image Enhancement and HDR Imaging
Yongxin Yan
Dehazing and Shadow Removal
Kaixing Huang
Super Resolution
Weisen Chen
Deraining
Yongtai Deng
Reflection Removal
Rui Jin
Flare Removal
Nong Sang
Advisor
Changxin Gao
Advisor