Gemini 3's Nano Banana Pro photo editing is amazing (www.techradar.com)

Google’s Nano Banana Pro, now powered by Gemini 3, showcases a leap in image editing by treating photos more like scenes than collections of pixels. Rather than applying surface-level filters, the model builds an internal, almost architectural representation of light, surface geometry, texture, and subject identity. That lets users issue simple, natural-language directions—“make this late-afternoon golden hour” or “replace waterfront with an elevated city terrace at dusk”—and have the system recalculate light position, intensity, shadows, reflections, and highlight maps so the result looks plausibly staged and physically consistent. For the AI/ML community this matters because it demonstrates integrated scene understanding in a generative pipeline: 3D-aware surface mapping, illumination relighting, perspective-aware background reconstruction, and depth/scale reasoning used for structural edits (e.g., removing foreground plants or moving boats) all from a single model. Practically, Nano Banana Pro can replace layers, masks, and manual compositing with intent-driven prompts, lowering the skill barrier and accelerating creative workflows. Technically, it points toward models that fuse geometry and photometric reasoning, opening new benchmarks for realistic relighting, editable scene representations, and evaluation of controllable, physically plausible image synthesis.