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Evidence record 5043 · automatically gathered

Structured Diffusion Bridges: Inductive Bias for Denoising Diffusion Bridges

Modality translation is inherently under-constrained, as multiple cross-modal mappings may yield the same marginals. Recent work has shown that diffusion bridges are effective for this task. However, most existing approaches rely on fully paired datasets, thereby imposing a single data-driven constraint. We propose a diffusion-bridge framework that characterizes the space of admissible solutions and restricts it via alignment constraints, treating paired supervision as an optional heuristic rath

Record details

Published: 3 May 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Safety & alignment
Retrieved: 14 July 2026

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These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (3 May 2026), “Structured Diffusion Bridges: Inductive Bias for Denoising Diffusion Bridges,” evidence record 5043, https://ethics.ai/record/5043 (originally published by arXiv).

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