No. VIF depends on the intercept because there is an intercept in the regression used to determine VIF. If the intercept is removed, R-square is not meaningful because it may be negative in which case one can get VIF < 1, implying that the standard error of a variable would go up if that independent variable were uncorrelated with the other predictors.
