# Spatiotemporal Prediction on 2D Turbulence Micro Source: [Spatiotemporal Prediction on 2D Turbulence Micro]() Collection index: [llms.txt]() Data updated: 2026-03-18T06:51:22.347Z Evaluation of model performance on predicting spatiotemporal dynamics using the 2D Turbulence Micro dataset, measured using RMSE, SSIM, and PSNR. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Spatiotemporal Prediction | | Dataset (including any stated split) | 2D Turbulence Micro | | Metric | RMSE | | Unit | SCALAR | | Direction | Lower is better | | Results loaded | 18 of 18 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [RMSE](): Lower is better; unit: SCALAR. - [SSIM](): Higher is better; unit: PERCENT. - [PSNR](): Higher is better; unit: SCALAR. ## Recorded results | Method | RMSE | Result date | Report paper | | --- | --- | --- | --- | | OMNIFLOW | 0.582 | Not recorded | 69ba31730636e5bf4afc0682 | | EarthFarseer | 0.654 | Not recorded | 69ba31730636e5bf4afc0682 | | LSM | 2.192 | Not recorded | 69ba31730636e5bf4afc0682 | | PredRNN | 2.237 | Not recorded | 69ba31730636e5bf4afc0682 | | PastNet | 2.383 | Not recorded | 69ba31730636e5bf4afc0682 | | TAU | 2.894 | Not recorded | 69ba31730636e5bf4afc0682 | | Earthformer | 3.125 | Not recorded | 69ba31730636e5bf4afc0682 | | FNO | 3.128 | Not recorded | 69ba31730636e5bf4afc0682 | | SwinT-Base | 4.221 | Not recorded | 69ba31730636e5bf4afc0682 | | UNet | 4.664 | Not recorded | 69ba31730636e5bf4afc0682 | | ConvLSTM | 4.938 | Not recorded | 69ba31730636e5bf4afc0682 | | SimVP | 5.04 | Not recorded | 69ba31730636e5bf4afc0682 | | ViT-Base | 5.64 | Not recorded | 69ba31730636e5bf4afc0682 | | ResNet | 5.874 | Not recorded | 69ba31730636e5bf4afc0682 | | OMNIFLOW | 64.32 | Not recorded | 69ba31730636e5bf4afc0682 | | Seedream 4.5 | 98.2 | Not recorded | 69ba31730636e5bf4afc0682 | | ChatGPT-Images | 112.5 | Not recorded | 69ba31730636e5bf4afc0682 | | Banana Pro | 118.4 | Not recorded | 69ba31730636e5bf4afc0682 | ### OMNIFLOW RMSE: 0.582. Result ID: 69ba4a2947f34ce924a385ee. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Category":"Proposed","Training Strategy":"Training-free"}. This record does not assert independent reproduction. ### EarthFarseer RMSE: 0.654. Result ID: 69ba4a2947f34ce924a385ec. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Category":"Sci-ML","Training Strategy":"End-to-end"}. This record does not assert independent reproduction. ### LSM RMSE: 2.192. Result ID: 69ba4a2947f34ce924a385eb. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Category":"Sci-ML","Training Strategy":"End-to-end"}. This record does not assert independent reproduction. ### PredRNN RMSE: 2.237. Result ID: 69ba4a2947f34ce924a385e6. [Reporting paper]() Recorded evaluation configuration: {"Category":"S-T Predict","Training Strategy":"End-to-end"}. This record does not assert independent reproduction. ### PastNet RMSE: 2.383. Result ID: 69ba4a2947f34ce924a385ed. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Category":"Sci-ML","Training Strategy":"End-to-end"}. This record does not assert independent reproduction. ### TAU RMSE: 2.894. Result ID: 69ba4a2947f34ce924a385e9. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Category":"S-T Predict","Training Strategy":"End-to-end"}. This record does not assert independent reproduction. ### Earthformer RMSE: 3.125. Result ID: 69ba4a2947f34ce924a385e8. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Category":"S-T Predict","Training Strategy":"End-to-end"}. This record does not assert independent reproduction. ### FNO RMSE: 3.128. Result ID: 69ba4a2947f34ce924a385ea. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Category":"Sci-ML","Training Strategy":"End-to-end"}. This record does not assert independent reproduction. ### SwinT-Base RMSE: 4.221. Result ID: 69ba4a2947f34ce924a385e4. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Category":"Vision","Training Strategy":"End-to-end"}. This record does not assert independent reproduction. ### UNet RMSE: 4.664. Result ID: 69ba4a2947f34ce924a385e2. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Category":"Vision","Training Strategy":"End-to-end"}. This record does not assert independent reproduction. ### ConvLSTM RMSE: 4.938. Result ID: 69ba4a2947f34ce924a385e5. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Category":"S-T Predict","Training Strategy":"End-to-end"}. This record does not assert independent reproduction. ### SimVP RMSE: 5.04. Result ID: 69ba4a2947f34ce924a385e7. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Category":"S-T Predict","Training Strategy":"End-to-end"}. This record does not assert independent reproduction. ### ViT-Base RMSE: 5.64. Result ID: 69ba4a2947f34ce924a385e3. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Category":"Vision","Training Strategy":"End-to-end"}. This record does not assert independent reproduction. ### ResNet RMSE: 5.874. Result ID: 69ba4a2947f34ce924a385e1. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Category":"Vision","Training Strategy":"End-to-end"}. This record does not assert independent reproduction. ### OMNIFLOW RMSE: 64.32. Result ID: 69ba4a2947f34ce924a3860e. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Zero-shot":"true","Evaluation Space":"PNG pixel space (0-255)"}. This record does not assert independent reproduction. ### Seedream 4.5 RMSE: 98.2. Result ID: 69ba4a2947f34ce924a3860c. [Reporting paper]() Recorded evaluation configuration: {"Zero-shot":"true","Evaluation Space":"PNG pixel space (0-255)"}. This record does not assert independent reproduction. ### ChatGPT-Images RMSE: 112.5. Result ID: 69ba4a2947f34ce924a3860d. [Reporting paper]() Recorded evaluation configuration: {"Zero-shot":"true","Evaluation Space":"PNG pixel space (0-255)"}. This record does not assert independent reproduction. ### Banana Pro RMSE: 118.4. Result ID: 69ba4a2947f34ce924a3860b. [Reporting paper]() Recorded evaluation configuration: {"Zero-shot":"true","Evaluation Space":"PNG pixel space (0-255)"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.