Is Nano Banana Pro a Low Level Vision All Rounder? A Comprehensive Evaluation on 14 Tasks and 40 Datasets Paper Project page GitHub Repo This repository hosts the official datasets and inferred results from the technical report: "Is Nano Banana Pro a Low Level Vision All Rounder? A Comprehensive Evaluation on 14 Tasks and 40 Datasets." While commercial text to image (T2I) models like Nano Banana Pro excel in creative synthesis, their potential as generalist solvers for traditional low level vision challenges remains largely underexplored. In this study, we investigate the critical question: Is Nano Banana Pro a Low Level Vision All Rounder? We conducted a comprehensive zero shot evaluation across 14 distinct low level tasks spanning 40 diverse datasets . Key Highlights Massive Benchmark: Evaluated on 14 low level vision tasks and 40 datasets. Zero Shot Setting: Utilized simple textual prompts without any fine tuning. The Dichotomy Discovery: We reveal a distinct performance dichotomy: ✅ Superior Subjective Quality: Often hallucinates plausible high frequency details that surpass specialist models. ❌ Lower Reference Based Metrics: Lags behind in PSNR/SSIM due to the inherent stochas…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy