In this work, we propose a simple yet effective framework that can effi- ciently predict plausible future states, where the key insight is that the potential ...

Jul 3, 2020 · In this work, we propose a simple yet effective framework that can efficiently predict plausible future states. The key insight is that the ...

This work proposes a simple yet effective framework that can efficiently predict plausible future states and demonstrates the generalization ...

Jul 7, 2020 · In this work, we propose a simple yet effective framework that can efficiently predict plausible future states. The key insight is that the ...

Jul 3, 2020 · In video prediction tasks, one major challenge is to capture the multi-modal nature of future con- tents and dynamics.

Supplementary Material of Video Prediction via Example Guidance. ∗. 1. Implementation Details. 1.1. Disentangling Model φdse. Disentangling mode φdse generally ...

1. Download the dataset: · 2. Extract the data: · 3. Train the feature extractor: · 4. Train the motion predictor: · 5. Generate the predicted sequences:.

In this work, we propose a simple yet effective framework that can efficiently predict plausible future states. The key insight is that the potential ...

These multi-step models offer superior sample quality and are resilient to mode collapse. However, even with such lucrative advantages, modeling videos with.

We introduce a novel generative model for video predic- tion based on latent flow matching, an efficient alternative to diffusion-based models.