Papers › Latent Neural Differential Equations for Video Generation
Latent Neural Differential Equations for Video Generation
Cade Gordon, Natalie Parde
Generative Adversarial Networks have recently shown promise for video generation, building off of the success of image generation while also addressing a new challenge: time. Although time was analyzed in some early work, the literature has not adequately grown with temporal modeling developments. We study the effects of Neural Differential Equations to model the temporal dynamics of video generation. The paradigm of Neural Differential Equations presents many theoretical strengths including the first continuous representation of time within video generation. In order to address the effects of Neural Differential Equations, we investigate how changes in temporal models affect generated video quality. Our results give support to the usage of Neural Differential Equations as a simple replacement for older temporal generators. While keeping run times similar and decreasing parameter count, we produce a new state-of-the-art model in 64×64 pixel unconditional video generation, with an Inception Score of 15.20.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Video Generation | UCF-101 16 frames, 128x128, Unconditional | TGANv2-ODE | Inception Score | 21.02 | #6 of 6 | Archive leaderboard | report |
| Video Generation | UCF-101 16 frames, 64x64, Unconditional | TGAN-ODE | FID | 26512 | #2 of 7 | Archive leaderboard | report |
| Video Generation | UCF-101 16 frames, 64x64, Unconditional | TGAN-ODE | Inception Score | 15.20 | #2 of 7 | Archive leaderboard | report |
| Video Generation | UCF-101 16 frames, Unconditional, Single GPU | TGANv2-ODE | Inception Score | 21.02 | #3 of 7 | 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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