Abstract: Unexpected shadow acne and shadow detachment due to limited storage are pervasive under traditional shadow mapping. In this paper, we present a method to eliminate false self-shadowing through adaptive depth bias. By estimating the potential shadow caster for each fragment, we compute the minimal depth bias needed to avoid false self-shadowing. Our method is simple to implement and compatible with other extensions to the shadow mapping algorithm, such as cascaded shadow map and adaptive shadow map. Moreover, our method works for both 2D shadow maps and 3D binary shadow volumes.