UniSER is a unified diffusion transformer foundation model that removes diverse soft image degradations by training on a large curated dataset of semi-transparent occlusions with fine-grained controls.
Trash or treasure? an interac- tive dual-stream strategy for single image reflection separa- tion.Advances in Neural Information Processing Systems, 34:24683–24694, 2021
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UniSER: A Foundation Model for Unified Soft Effects Removal
UniSER is a unified diffusion transformer foundation model that removes diverse soft image degradations by training on a large curated dataset of semi-transparent occlusions with fine-grained controls.