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Achieving top-tier regression performance while drastically reducing computational costs, Xiaomi-TabLDM sets a new benchmark for efficiency in tabular data modeling.
FSP-Diff effectively eliminates content drift in image super-resolution, resulting in HQ images that retain both visual detail and semantic integrity.
Pixel-level restoration can dramatically improve image quality by addressing specific degradation types and severities, outperforming traditional uniform methods.