RORem trains an SDXL-based object remover on a 200K-pair dataset grown by iterative human feedback and a learned discriminator, surpassing prior methods by roughly 18 points in human-judged success rate.
Incremental transformer structure enhanced image inpainting with mask- ing positional encoding
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RORem: Training a Robust Object Remover with Human-in-the-Loop
RORem trains an SDXL-based object remover on a 200K-pair dataset grown by iterative human feedback and a learned discriminator, surpassing prior methods by roughly 18 points in human-judged success rate.