Accurate forecast of atmospheric visibility is of great significance to air pollution control and public transportation safety. Based on the atmospheric visibility data observed by the National Meteorological Information Center from December 1, 2019 to September 23, 2020, ConvLSTM model and PredRNN model were used to forecast visibility over central and eastern China for 12 h in this work, and the forecast results of the two models were evaluated. The results show that PredRNN model performs better than the traditional ConvLSTM model in atmospheric visibility forecast, image quality evaluation index and forecast index. In addition, it is also found that compared with ConvLSTM model, PredRNN model has improved significantly in forecasting 4000 m medium-level fog area over time.