Text2Thermal: Physics-Aware Thermal Image Synthesis from Textual Priors
Thermal infrared imaging offers reliable perception in darkness and adverse weather, but thermal datasets remain scarce, motivating extensive work on translating abundant RGB images into thermal. Such translation is fundamentally ill-posed as thermal appearance is governed by surface emissivity and object temperature, neither of which is observable in the visible spectrum, so a single RGB image is consistent with many valid thermal outputs. We argue that language offers a natural means of resolving this ambiguity, and propose **Text2Thermal**, a framework for physics-aware thermal image synthesis from textual priors. Rather than inferring the unobservable radiometric factors from RGB, we ...
| Authors | Tayeba Qazi, Brejesh Lall, Prerana Mukherjee |
|---|---|
| Primary category | cs.CV |
| Published | 3 September 2026 |
| Last updated at source | 8 September 2026 |
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