Stanford paper builds bidirectional diffusion bridges unifying text-to-image and inversion
burkov · x · 2026-09-03
A new Stanford paper introduces bidirectional diffusion bridges that directly interpolate between text and image representations, establishing a unified continuous-space framework for both text-to-image generation and image-to-text inversion, so both directions share one bridge structure rather than separate models. Of interest to researchers in diffusion models and multimodal representation learning.
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