| Video Prediction Transformers without Recurrence or Convolution | ✓ Link | 11.62 | 41.96 | 0.9742 | | 39.89 | PredFormer | 2024-10-07 |
| SimVPv2: Towards Simple yet Powerful Spatiotemporal Predictive Learning | ✓ Link | 15.05 | 49.8 | 0.967 | | | SimVP+gSTA-Sx10 | 2022-11-22 |
| Implicit Stacked Autoregressive Model for Video Prediction | ✓ Link | 15.3 | 49.2 | 0.966 | | | IAM4VPx5 | 2023-03-14 |
| MogaNet: Multi-order Gated Aggregation Network | ✓ Link | 15.67 | 51.84 | 0.9661 | | | MogaNet (SimVP 10x) | 2022-11-07 |
| MogaNet: Multi-order Gated Aggregation Network | ✓ Link | 16.21 | 53.57 | 0.9646 | | | VAN (SimVP 10x) | 2022-11-07 |
| MogaNet: Multi-order Gated Aggregation Network | ✓ Link | 17.4 | 55.7 | 0.9624 | | | HorNet (SimVP 10x) | 2022-11-07 |
| MogaNet: Multi-order Gated Aggregation Network | ✓ Link | 17.58 | 55.76 | 0.9617 | | | ConvNeXt (SimVP 10x) | 2022-11-07 |
| SwinLSTM: Improving Spatiotemporal Prediction Accuracy using Swin Transformer and LSTM | ✓ Link | 17.7 | | 0.962 | | | SwinLSTM | 2023-01-01 |
| MogaNet: Multi-order Gated Aggregation Network | ✓ Link | 18.01 | 57.52 | | | | Uniformer (SimVP 10x) | 2022-11-07 |
| MogaNet: Multi-order Gated Aggregation Network | ✓ Link | 18.85 | 59.86 | | | | MLP-Mixer (SimVP 10x) | 2022-11-07 |
| GMG: A Video Prediction Method Based on Global Focus and Motion Guided | ✓ Link | 19.0741 | 60.7413 | 0.9586 | | 24.4606 | GMG | 2025-03-14 |
| MogaNet: Multi-order Gated Aggregation Network | ✓ Link | 19.11 | 59.84 | | | | Swin (SimVP 10x) | 2022-11-07 |
| MogaNet: Multi-order Gated Aggregation Network | ✓ Link | 19.74 | 61.65 | 0.9539 | | | ViT (SimVP 10x) | 2022-11-07 |
| Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning | ✓ Link | 19.8 | 60.3 | 0.957 | | | TAU | 2022-06-24 |
| MogaNet: Multi-order Gated Aggregation Network | ✓ Link | 20.96 | 64.31 | | | | Poolformer (SimVP 10x) | 2022-11-07 |
| MogaNet: Multi-order Gated Aggregation Network | ✓ Link | 22.3 | 67.37 | | | | ConvMixer (SimVP 10x) | 2022-11-07 |
| Efficient and Information-Preserving Future Frame Prediction and Beyond | ✓ Link | 22.3 | | 0.949 | | | CrevNet+ST-LSTM | 2020-05-01 |
| SimVP: Simpler yet Better Video Prediction | ✓ Link | 23.8 | | 0.948 | | | SimVP | 2022-06-09 |
| Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction | ✓ Link | 24.4 | 70.3 | 0.947 | | | PhyDNet | 2020-03-03 |
| MAU: A Motion-Aware Unit for Video Prediction and Beyond | ✓ Link | 27.6 | | 0.937 | | | MAU | 2021-12-01 |
| MSPred: Video Prediction at Multiple Spatio-Temporal Scales with Hierarchical Recurrent Networks | ✓ Link | 34.44 | | 0.975 | 0.024 | 26.82 | MSPred | 2022-03-17 |
| Efficient and Information-Preserving Future Frame Prediction and Beyond | ✓ Link | 38.5 | | 0.928 | | | CrevNet+ConvLSTM | 2020-05-01 |
| Eidetic 3D LSTM: A Model for Video Prediction and Beyond | ✓ Link | 41.3 | 86.4 | 0.910 | | | E3D-LSTM | 2019-05-01 |
| Video Prediction Recalling Long-term Motion Context via Memory Alignment Learning | ✓ Link | 41.5 | | 0.924 | 0.047 | | LMC | 2021-04-02 |
| Self-Attention ConvLSTM for Spatiotemporal Prediction | ✓ Link | 43.9 | 94.7 | 0.913 | | | SA-ConvLSTM | 2020-04-03 |
| Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics | ✓ Link | 44.2 | 101.1 | 0.910 | | | MIM* | 2018-11-19 |
| PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning | ✓ Link | 46.5 | 106.8 | 0.898 | | | Causal LSTM | 2018-04-17 |
| PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning | ✓ Link | 48.4 | | 0.891 | 0.071 | | PredRNN-V2 | 2021-03-17 |
| Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics | ✓ Link | 52.0 | 116.5 | 0.874 | | | MIM | 2018-11-19 |
| PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs | ✓ Link | 56.8 | 126.1 | 0.867 | | | PredRNN | 2017-12-01 |
| Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting | ✓ Link | 103.3 | 182.9 | 0.707 | | | ConvLSTM | 2015-06-13 |