In this paper, we prop osean e?cient low complexity geometry compression scheme for densely sampled irregular 3D meshes. This scheme is base d on 3D multiresolution analysis (3D Discrete Wavelet Transform) and includes a model-based bit allocation process across the wavelet subbands. Coordinates of 3D wavelet coefficients are processed separately and statistically modeled by a generalized Gaussian distribution. This permits an efficient allocation even at low bitrate with very low complexity. Moreover, we introduce predictive geometry coding of LF subbands by taking in account the correlation of the coarsest level coefficients. Finally, we use EBCOT coder to efficiently encode the quantized coefficients.