Papers › SimVP: Simpler yet Better Video Prediction
SimVP: Simpler yet Better Video Prediction
Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li
From CNN, RNN, to ViT, we have witnessed remarkable advancements in video prediction, incorporating auxiliary inputs, elaborate neural architectures, and sophisticated training strategies. We admire these progresses but are confused about the necessity: is there a simple method that can perform comparably well? This paper proposes SimVP, a simple video prediction model that is completely built upon CNN and trained by MSE loss in an end-to-end fashion. Without introducing any additional tricks and complicated strategies, we can achieve state-of-the-art performance on five benchmark datasets. Through extended experiments, we demonstrate that SimVP has strong generalization and extensibility on real-world datasets. The significant reduction of training cost makes it easier to scale to complex scenarios. We believe SimVP can serve as a solid baseline to stimulate the further development of video prediction. The code is available at \href{https://github.com/gaozhangyang/SimVP-Simpler-yet-Better-Video-Prediction}{Github}.
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Code
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Code Syntology ran Syntology
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Video Prediction | Human3.6M | SimVP | MAE | 1510 | #4 of 9 | Archive leaderboard | report |
| Video Prediction | Human3.6M | SimVP | MSE | 316 | #4 of 9 | Archive leaderboard | report |
| Video Prediction | Human3.6M | SimVP | SSIM | 0.904 | #4 of 9 | Archive leaderboard | report |
| Video Prediction | Moving MNIST | SimVP | MSE | 23.8 | #18 of 31 | Archive leaderboard | report |
| Video Prediction | Moving MNIST | SimVP | SSIM | 0.948 | #18 of 31 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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