SynthFaces dataset enables balanced human generation for fair AI models
SynthFaces expands Arc2Face diffusion model with flow matching to create diverse synthetic faces, reducing privacy risks and biases in real datasets.
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Stories tagged #identity-preservation
Beyond Spatio-Temporal Priors: A Generalizable Approach for Dense Correspondence Matching
FreeMatching improves identity-preserving dense correspondence for image edits that break physical continuity.
Beyond Spatio-Temporal Priors: A Generalizable Approach for Dense Correspondence Matching
FreeMatching matches dense correspondences when image edits break classical motion and geometry priors.
One Editor, Many Edits: A Unified Training-Free Framework for Diverse Video Editing
Researchers introduce EditVid, a training-free video editing framework scoring 78.16 FiVE-Acc versus 58.95 for the strongest comparable baseline.