AI RESEARCH
UniSER: A Foundation Model for Unified Soft Effects Removal
arXiv CS.CV
•
ArXi:2511.14183v2 Announce Type: replace Digital images are often degraded by soft effects such as lens flare, haze, shadows, and reflections, which reduce aesthetics even though the underlying pixels remain partially visible. The prevailing works address these degradations in isolation, developing highly specialized, specialist models that lack scalability and fail to exploit the shared underlying essences of these restoration problems.