DiffInf: Influence-Guided Diffusion for Supervision Alignment in Facial Attribute Learning

ArXi:2603.06399v1 Announce Type: new Facial attribute classification relies on large-scale annotated datasets in which many traits, such as age and expression, are inherently ambiguous and continuous but are discretized into categorical labels. Annotation inconsistencies arise from subjectivity and visual confounders such as pose, illumination, expression, and graphic variation, creating mismatch between images and assigned labels. These inconsistencies