AI's Blind Spot: Mirrors in Image and Video Generation

Recent advancements in AI image and video generation have yielded impressive photorealistic results, yet a significant hurdle remains: accurately rendering reflections in mirrors. Researchers tested several leading models, finding consistent struggles with generating correct reflections. Models frequently produced distorted, inconsistent, or entirely inaccurate images. For instance, Gemini faltered with reflections of cats and chairs, while Ideogram struggled with human reflections in group photos. This highlights a key limitation: while AI image generation is rapidly advancing, achieving physical accuracy—like realistic mirror reflections—remains a significant challenge.