Bistable Image

Bistable images, exhibiting multiple interpretable perceptions, are a focus of research exploring the intersection of computer vision, cognitive science, and information security. Current research investigates how vision-language models and novel neural network architectures, including invertible networks and diffusion processes, perceive and generate these ambiguous images, comparing model interpretations to human perception and exploring the influence of image manipulations and language prompts. This work is significant for advancing our understanding of visual perception, improving the robustness of image-based security systems, and developing more human-like AI systems capable of handling perceptual ambiguity.